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Department of Defense Architecture Framework
Department of Defense Architecture Framework
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DoD Architecture Framework v1.5.[1]
DoDAF Architecture Framework Version 2.0[2]

The Department of Defense Architecture Framework (DoDAF) is an architecture framework for the United States Department of Defense (DoD) that provides visualization infrastructure for specific stakeholders concerns through viewpoints organized by various views. These views are artifacts for visualizing, understanding, and assimilating the broad scope and complexities of an architecture description through tabular, structural, behavioral, ontological, pictorial, temporal, graphical, probabilistic, or alternative conceptual[broken anchor] means. The current release is DoDAF 2.02.

This Architecture Framework is especially suited to large systems with complex integration and interoperability challenges, and it is apparently unique in its employment of "operational views". These views offer overview and details aimed to specific stakeholders within their domain and in interaction with other domains in which the system will operate.[3]

Overview

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The DoDAF provides a foundational framework for developing and representing architecture descriptions that ensure a common denominator for understanding, comparing, and integrating architectures across organizational, joint, and multinational boundaries. It establishes data element definitions, rules, and relationships and a baseline set of products for consistent development of systems, integrated, or federated architectures. These architecture descriptions may include families of systems (FoS), systems of systems (SoS), and net-centric capabilities for interoperating and interacting in the non-combat environment.[1]

DoD Components are expected to conform to DoDAF to the maximum extent possible in development of architectures within the department. Conformance ensures that reuse of information, architecture artifacts, models, and viewpoints can be shared with common understanding. All major U.S. DoD weapons and information technology system acquisitions are required to develop and document an enterprise architecture (EA) using the views prescribed in the DoDAF. While it is clearly aimed at military systems, DoDAF has broad applicability across the private, public and voluntary sectors around the world, and represents one of a large number of systems architecture frameworks.[4][5]

  • The purpose of DoDAF is to define concepts and models usable in DoD's six core processes:[6]
    1. Joint Capabilities Integration and Development (JCIDS)
    2. Planning, Programming, Budgeting, and Execution (PPBE)
    3. Defense Acquisition System (DAS)
    4. Systems Engineering (SE)
    5. Operational Planning (OPLAN)
    6. Capability Portfolio Management (CPM)
  • In addition, DoDAF 2.0's specific goals were to:[6]
    1. Establish guidance for architecture content as a function of purpose – “fit for purpose”
    2. Increase utility and effectiveness of architectures via a rigorous data model – the DoDAF Meta Model (DM2) -- so the architectures can be integrated, analyzed, and evaluated with more precision.

History

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Evolution of the DoDAF since the 1990s. The DoDAF V2.0 was released in May, 2009.[1]

The first version of the development DoDAF was developed in the 1990s under the name C4ISR Architecture Framework. In the same period the reference model TAFIM, which was initiated in 1986, was further developed. The first C4ISR Architecture Framework v1.0, released 7 June 1996, was created in response to the passage of the Clinger-Cohen Act. It addressed the 1995 Deputy Secretary of Defense directive that a DoD-wide effort be undertaken to define and develop a better means and process for ensuring that C4ISR capabilities were interoperable and met the needs of the warfighter. Continued development effort resulted in December 1997 in the second version, C4ISR Architecture Framework v2.0.[1]

In August 2003 the DoDAF v1.0 was released, which restructured the C4ISR Framework v2.0 to offer guidance, product descriptions, and supplementary information in two volumes and a Desk Book. It broadened the applicability of architecture tenets and practices to all Mission Areas rather than just the C4ISR community. This document addressed usage, integrated architectures, DoD and Federal policies, value of architectures, architecture measures, DoD decision support processes, development techniques, analytical techniques, and the CADM v1.01, and moved towards a repository-based approach by placing emphasis on architecture data elements that comprise architecture products.[1] In February 2004 the documentation of Version 1.0 was released with volume "I: Definitions and Guidelines", "II: Product Descriptions" and a "Deskbook". In April 2007 the Version 1.5 was released with a documentation of "Definitions and Guidelines", "Product Descriptions" and "Architecture Data Description". This period further developed the concepts and terms that have since been replaced with different approaches. For example, a Mission Needs Statement (MNS) was a U.S. Department of Defense type of document which identified capability needs for a program to satisfy by a combination of solutions (DOTMLPF) to resolve a mission deficiency or to enhance operational capability. This type of document has been superseded by the description of capability needs called an Initial Capabilities Document, as of CJCSI 3170.01E. The CJCSI 3170.01 and 6212.01 were superseded by the CJCSI 5123.01 Series.

This term was introduced as a fundamental step in CJCSI 3170.01B (Apr 2001), 6212.01D (Apr 2005), and the Interim Defense Acquisition Guidebook (Oct 2004).

On May 28, 2009, DoDAF v2.0 was approved by the Department of Defense.[7] The current version is DoDAF 2.02 [8] DoDAF V2.0 is published on a public website.[9]

Other derivative frameworks based on DoDAF include the NATO Architecture Framework (NAF) and Ministry of Defence Architecture Framework. Like other EA approaches, for example The Open Group Architecture Framework (TOGAF), DoDAF is organized around a shared repository to hold work products. The repository is defined by the common database schema Core Architecture Data Model 2.0 and the DoD Architecture Registry System (DARS). A key feature of DoDAF is interoperability, which is organized as a series of levels, called Levels of Information System Interoperability (LISI). The developing system must not only meet its internal data needs but also those of the operational framework into which it is set.

Capabilities and mission

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See the diagram for a depiction of the Capabilities Emphasis, as tied in with mission/course of action, threads, activities, and architectures.

Capabilities Described with Architectures

The DoD has moved toward a focus on the delivery of capabilities, which are the reason for creating the system/service. The Capability Models describe capability taxonomy and capability evolution. A capability thread would equate to the specific activities, rules, and systems that are linked to that particular capability.

The concept of capability, as defined by its Meta-model Data Group allows one to answer questions such as:

  • How does a particular capability or capabilities support the overall mission/vision?
  • What outcomes are expected to be achieved by a particular capability or set of capabilities?
  • What services are required to support a capability?
  • What is the functional scope and organizational span of a capability or set of capabilities?
  • What is our current set of capabilities that we are managing as part of a portfolio?

[10]

The Mission or Course of Action is described by a Concept of Operations (CONOPS), and is organized by Capabilities.

  • Capabilities are described by Threads.
  • Threads are described by Activities executed in serial or parallel.
  • Activities are grouped into Mission Areas. Activities define operations for an Architecture.
  • Architectures are organized by mission areas. Architectures provide proper resourcing of capabilities required by the Mission or Course of Action.

Version 1.5 views

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DoDAF V1.5 Linkages Among Views.[1]
DoD C4ISR Framework

The DoDAF V1.5 defines a set of products, a view model, that act as mechanisms for visualizing, understanding, and assimilating the broad scope and complexities of an architecture description through graphic, tabular, or textual means. These products are organized under four views:

  • All view (AV)
  • Operational view (OV)
  • Systems view (SV)
  • Technical standards view (TV)

Each view depicts certain perspectives of an architecture as described below. Only a subset of the full DoDAF viewset is usually created for each system development. The figure represents the information that links the operational view, systems and services view, and technical standards view. The three views and their interrelationships – driven by common architecture data elements – provide the basis for deriving measures such as interoperability or performance, and for measuring the impact of the values of these metrics on operational mission and task effectiveness.[1]

All view

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All view (AV) products provide overarching descriptions of the entire architecture and define the scope and context of the architecture. The DoDAF V1.5 AV products are defined as:

AV-1 Overview and Summary Information
Scope, purpose, intended users, environment depicted, analytical findings (if applicable)
AV-2 Integrated Dictionary
Definitions of all terms used in all products.

Operational view

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Operational View (OV) products provide descriptions of the tasks and activities, operational elements, and information exchanges required to accomplish DoD missions. The OV provides textual and graphical representations of operational nodes and elements, assigned tasks and activities, and information flows between nodes. It defines the type of information exchanged, the frequency of exchanges, the tasks and activities supported by these exchanges and the nature of the exchanges. The DoDAF V1.5 OV products are defined as:

OV-1 High Level Operational Concept Graphic
High level graphical and textual description of operational concept (high level organizations, missions, geographic configuration, connectivity, etc.).
OV-2 Operational Node Connectivity Description
Operational nodes, activities performed at each node, and connectivities and information flow between nodes.
OV-3 Operational Information Exchange Matrix
Information exchanged between nodes and the relevant attributes of that exchange such as media, quality, quantity, and the level of interoperability required.
OV-4 Organizational Relationships Chart
Command, control, coordination, and other relationships among organizations.
OV-5 Operational Activity Model
Activities, relationships among activities, inputs and outputs. In addition, overlays can show cost, performing nodes, or other pertinent information.
OV-6a Operational Rules Model
One of the three products used to describe operational activity sequence and timing that identifies the business rules that constrain the operation.
OV-6b Operational State Transition Description
One of the three products used to describe operational activity sequence and timing that identifies responses of a business process to events.
OV-6c Operational Event-Trace Description
One of the three products used to describe operational activity sequence and timing that traces the actions in a scenario or critical sequence of events.
OV-7 Logical Data Model
Documentation of the data requirements and structural business process rules of the Operational View. (In DoDAF V1.5. This corresponds to DIV-2 in DoDAF V2.0.)

Systems and services view

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Systems and services view (SV) is a set of graphical and textual products that describe systems and services and interconnections providing for, or supporting, DoD functions. SV products focus on specific physical systems with specific physical (geographical) locations. The relationship between architecture data elements across the SV to the OV can be exemplified as systems are procured and fielded to support organizations and their operations. The DoDAF V1.5 SV products are:

SV-1 Systems/Services Interface Description
Depicts systems nodes and the systems resident at these nodes to support organizations/human roles represented by operational nodes of the OV-2. SV-1 also identifies the interfaces between systems and systems nodes.
SV-2 Systems/Services Communications Description
Depicts pertinent information about communications systems, communications links, and communications networks. SV-2 documents the kinds of communications media that support the systems and implements their interfaces as described in SV-1. Thus, SV-2 shows the communications details of SV-1 interfaces that automate aspects of the needlines represented in OV-2.
SV-3 Systems-Systems, Services-Systems, Services-Services Matrices
provides detail on the interface characteristics described in SV-1 for the architecture, arranged in matrix form.
SV-4a/SV-4b Systems/Services Functionality Description
The SV-4a documents system functional hierarchies and system functions, and the system data flows between them. The SV-4 from DoDAF v1.0 is designated as 'SV-4a' in DoDAF v1.5. Although there is a correlation between OV-5 or business-process hierarchies and the system functional hierarchy of SV-4a, it need not be a one-to-one mapping, hence, the need for the Operational Activity to Systems Function Traceability Matrix (SV-5a), which provides that mapping.
SV-5a, SV-5b, SV-5c Operational Activity to Systems Function, Operational Activity to Systems and Services Traceability Matrices
Operational Activity to SV-5a and SV-5b is a specification of the relationships between the set of operational activities applicable to an architecture and the set of system functions applicable to that architecture. The SV-5 and extension to the SV-5 from DoDAF v1.0 is designated as 'SV-5a' and ‘SV-5b’ in DoDAF v1.5 respectively.
SV-6 Systems/Services Data Exchange Matrix
Specifies the characteristics of the system data exchanged between systems. This product focuses on automated information exchanges (from OV-3) that are implemented in systems. Non-automated information exchanges, such as verbal orders, are captured in the OV products only.
SV-7 Systems/Services Performance Parameters Matrix
Specifies the quantitative characteristics of systems and system hardware/software items, their interfaces (system data carried by the interface as well as communications link details that implement the interface), and their functions. It specifies the current performance parameters of each system, interface, or system function, and the expected or required performance parameters at specified times in the future. Performance parameters include all technical performance characteristics of systems for which requirements can be developed and specification defined. The complete set of performance parameters may not be known at the early stages of architecture definition, so it should be expected that this product will be updated throughout the system’s specification, design, development, testing, and possibly even its deployment and operations life-cycle phases.
SV-8 Systems/Services Evolution Description
Captures evolution plans that describe how the system, or the architecture in which the system is embedded, will evolve over a lengthy period of time. Generally, the timeline milestones are critical for a successful understanding of the evolution timeline.
SV-9 Systems/Services Technology Forecast
Defines the underlying current and expected supporting technologies that have been targeted using standard forecasting methods. Expected supporting technologies are those that can be reasonably forecast given the current state of technology and expected improvements. New technologies should be tied to specific time periods, which can correlate against the time periods used in SV-8 milestones.
SV-10a Systems/Services Rules Model
Describes the rules under which the architecture or its systems behave under specified conditions.
SV-10b Systems/Services State Transition Description
A graphical method of describing a system (or system function) response to various events by changing its state. The diagram basically represents the sets of events to which the systems in the architecture will respond (by taking an action to move to a new state) as a function of its current state. Each transition specifies an event and an action.
SV-10c Systems/Services Event-Trace Description
Provides a time-ordered examination of the system data elements exchanged between participating systems (external and internal), system functions, or human roles as a result of a particular scenario. Each event-trace diagram should have an accompanying description that defines the particular scenario or situation. SV-10c in the Systems and Services View may reflect system-specific aspects or refinements of critical sequences of events described in the Operational View.
SV-11 Physical Schema
One of the architecture products closest to actual system design in the Framework. The product defines the structure of the various kinds of system data that are utilized by the systems in the architecture. (In DoDAF V1.5. This corresponds to DIV-3 in DoDAF V2.0.)

Technical standards view

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Technical standards view (TV) products define technical standards, implementation conventions, business rules and criteria that govern the architecture. The DoDAF V1.5 TV products are as follows:

  • StdV-1 Technical Standards Profile - Extraction of standards that applies to the given architecture. (In DoDAF V1.5. Renamed to StdV-1 in DoDAF V2.0.)
  • StdV-2 Technical Standards Forecast - Description of emerging standards that are expected to apply to the given architecture, within an appropriate set of timeframes. (In DoDAF V1.5. Renamed to StdV-2 in DoDAF V2.0.)

Version 2.0 viewpoints

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Diagram of DoDAF V2.0 Viewpoints.[11]
Evolution of DoDAF V1.5 Views to DoDAF V2.0 Viewpoints.[12]
Mapping of DoDAF V1.5 Views to DoDAF V2.0 Viewpoints.[13]

In DoDAF V2.0, architectural viewpoints are composed of data that has been organized to facilitate understanding. To align with ISO Standards, where appropriate, the terminology has changed from Views to Viewpoint (e.g., the Operational View is now the Operational Viewpoint).

All Viewpoint (AV)
Describes the overarching aspects of architecture context that relate to all viewpoints.
Capability Viewpoint (CV)
New in DoDAF V2.0. Articulates the capability requirements, the delivery timing, and the deployed capability.
Data and Information Viewpoint (DIV)
New in DoDAF V2.0. Articulates the data relationships and alignment structures in the architecture content for the capability and operational requirements, system engineering processes, and systems and services.
Operational Viewpoint (OV)
Includes the operational scenarios, activities, and requirements that support capabilities.
Project Viewpoint (PV)
New in DoDAF V2.0. Describes the relationships between operational and capability requirements and the various projects being implemented. The Project Viewpoint also details dependencies among capability and operational requirements, system engineering processes, systems design, and services design within the Defense Acquisition System process.
Services Viewpoint (SvcV)
New in DoDAF V2.0. Presents the design for solutions articulating the Performers, Activities, Services, and their Exchanges, providing for or supporting operational and capability functions.
Standards Viewpoint (StdV)
Renamed from Technical Standards View. Articulates the applicable operational, business, technical, and industry policies, standards, guidance, constraints, and forecasts that apply to capability and operational requirements, system engineering processes, and systems and services.
Systems Viewpoint (SV)
Articulates, for legacy support, the design for solutions articulating the systems, their composition, interconnectivity, and context providing for or supporting operational and capability functions. Note, System has changed in DoDAF V2.0 from DoDAF V1.5: System is not just computer hardware and computer software. System is now defined in the general sense of an assemblage of components - machine, human - that perform activities (since they are subtypes of Performer) and are interacting or interdependent. This could be anything, i.e., anything from small pieces of equipment that have interacting or interdependent elements, to Family of Systems (FoS) and System of Systems (SoS). Note that Systems are made up of Materiel (e.g., equipment, aircraft, and vessels) and Personnel Types.

The architectures for DoDAF V1.0 and DoDAF V1.5 may continue to be used. When appropriate (usually indicated by policy or by the decision-maker), DoDAF V1.0 and V1.5 architectures will need to update their architecture. When pre-DoDAF V2.0 architecture is compared with DoDAF V2.0 architecture, concept differences (such as Node) must be defined or explained for the newer architecture. In regard to DoDAF V1.5 products, they have been transformed into parts of the DoDAF V2.0 models. In most cases, the DoDAF V2.0 Meta-model supports the DoDAF V1.5 data concepts, with one notable exception: Node. Node is a complex, logical concept that is represented with more concrete concepts.

All Viewpoint (AV)

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AV-1 Overview and Summary Information
Describes a Project's Visions, Goals, Objectives, Plans, Activities, Events, Conditions, Measures, Effects (Outcomes), and produced objects.
AV-2 Integrated Dictionary
An architectural data repository with definitions of all terms used throughout

Capability Viewpoint (CV)

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CV-1 Vision
Addresses the enterprise concerns associated with the overall vision for transformational endeavours and thus defines the strategic context for a group of capabilities. The purpose of the CV-1 is to provide a strategic context for the capabilities described in the Architecture Description.
CV-2 Capability Taxonomy
Captures capability taxonomies. The model presents a hierarchy of capabilities. These capabilities may be presented in the context of a timeline. The CV-2 specifies all the capabilities that are referenced throughout one or more architectures.
CV-3 Capability Phasing
The planned achievement of capability at different points in time or during specific periods of time. The CV-3 shows the capability phasing in terms of the activities, conditions, desired effects, rules complied with, resource consumption and production, and measures, without regard to the performer and location solutions
CV-4 Capability Dependencies
The dependencies between planned capabilities and the definition of logical groupings of capabilities.
CV-5 Capability to Organizational Development Mapping
The fulfillment of capability requirements shows the planned capability deployment and interconnection for a particular Capability Phase. The CV-5 shows the planned solution for the phase in terms of performers and locations and their associated concepts.
CV-6 Capability to Operational Activities Mapping
A mapping between the capabilities required and the operational activities that those capabilities support.
CV-7 Capability to Services Mapping
A mapping between the capabilities and the services that these capabilities enable.

Data and Information Viewpoint (DIV)

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DIV-1 Conceptual Data Model
The required high-level data concepts and their relationships.
DIV-2 Logical Data Model
The documentation of the data requirements and structural business process (activity) rules. In DoDAF V1.5, this was the OV-7.
DIV-3 Physical Data Model
The physical implementation format of the Logical Data Model entities, e.g., message formats, file structures, physical schema. In DoDAF V1.5, this was the SV-11.

Note, see Logical data model for discussion of the relationship of these three DIV data models, with comparison of the Conceptual, Logical & Physical Data Models.

Operational Viewpoint (OV)

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OV-1 High-Level Operational Concept Graphic
The high-level graphical/textual description of the operational concept.
OV-2 Operational Resource Flow Description
A description of the Resource Flows exchanged between operational activities.
OV-3 Operational Resource Flow Matrix
A description of the resources exchanged and the relevant attributes of the exchanges.
OV-4 Organizational Relationships Chart
The organizational context, role or other relationships among organizations.
OV-5a Operational Activity Decomposition Tree
The capabilities and activities (operational activities) organized in a hierarchal structure.
OV-5b Operational Activity Model
The context of capabilities and activities (operational activities) and their relationships among activities, inputs, and outputs; Additional data can show cost, performers or other pertinent information.
OV-6a Operational Rules Model
One of three models used to describe activity (operational activity). It identifies business rules that constrain operations.
OV-6b State Transition Description
One of three models used to describe operational activity (activity). It identifies business process (activity) responses to events (usually, very short activities).
OV-6c Event-Trace Description
One of three models used to describe activity (operational activity). It traces actions in a scenario or sequence of events.

Project Viewpoint (PV)

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PV-1 Project Portfolio Relationships
It describes the dependency relationships between the organizations and projects and the organizational structures needed to manage a portfolio of projects.
PV-2 Project Timelines
A timeline perspective on programs or projects, with the key milestones and interdependencies.
PV-3 Project to Capability Mapping
A mapping of programs and projects to capabilities to show how the specific projects and program elements help to achieve a capability.

Services Viewpoint (SvcV)

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SvcV-1 Services Context Description
The identification of services, service items, and their interconnections.
SvcV-2 Services Resource Flow Description
A description of Resource Flows exchanged between services.
SvcV-3a Systems-Services Matrix
The relationships among or between systems and services in a given Architectural Description.
SvcV-3b Services-Services Matrix
The relationships among services in a given Architectural Description. It can be designed to show relationships of interest, (e.g., service-type interfaces, planned vs. existing interfaces).
SvcV-4 Services Functionality Description
The functions performed by services and the service data flows among service functions (activities).
SvcV-5 Operational Activity to Services Traceability Matrix
A mapping of services (activities) back to operational activities (activities).
SvcV-6 Services Resource Flow Matrix
It provides details of service Resource Flow elements being exchanged between services and the attributes of that exchange.
SvcV-7 Services Measures Matrix
The measures (metrics) of Services Model elements for the appropriate timeframe(s).
SvcV-8 Services Evolution Description
The planned incremental steps toward migrating a suite of services to a more efficient suite or toward evolving current services to a future implementation.
SvcV-9 Services Technology & Skills Forecast
The emerging technologies, software/hardware products, and skills that are expected to be available in a given set of time frames and that will affect future service development.
SvcV-10a Services Rules Model
One of three models used to describe service functionality. It identifies constraints that are imposed on systems functionality due to some aspect of system design or implementation.
SvcV-10b Services State Transition Description
One of three models used to describe service functionality. It identifies responses of services to events.
SvcV-10c Services Event-Trace Description
One of three models used to describe service functionality. It identifies service-specific refinements of critical sequences of events described in the Operational Viewpoint.

Standards Viewpoint (StdV)

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StdV-1 Standards Profile
The listing of standards that apply to solution elements. In DoDAF V1.5, this was the TV-1.
StdV-2 Standards Forecast
The description of emerging standards and potential impact on current solution elements, within a set of time frames. In DoDAF V1.5, this was the TV-2.

Systems Viewpoint (SV)

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SV-1 Systems Interface Description
The identification of systems, system items, and their interconnections.
SV-2 Systems Resource Flow Description
A description of Resource Flows exchanged between systems.
SV-3 Systems-Systems Matrix
The relationships among systems in a given Architectural Description. It can be designed to show relationships of interest, (e.g., system-type interfaces, planned vs. existing interfaces).
SV-4 Systems Functionality Description
The functions (activities) performed by systems and the system data flows among system functions (activities).
SV-5a Operational Activity to Systems Function Traceability Matrix
A mapping of system functions (activities) back to operational activities (activities).
SV-5b Operational Activity to Systems Traceability Matrix
A mapping of systems back to capabilities or operational activities (activities).
SV-6 Systems Resource Flow Matrix
Provides details of system resource flow elements being exchanged between systems and the attributes of that exchange.
SV-7 Systems Measures Matrix
The measures (metrics) of Systems Model elements for the appropriate timeframe(s).
SV-8 Systems Evolution Description
The planned incremental steps toward migrating a suite of systems to a more efficient suite, or toward evolving a current system to a future implementation.
SV-9 Systems Technology & Skills Forecast
The emerging technologies, software/hardware products, and skills that are expected to be available in a given set of time frames and that will affect future system development.
SV-10a Systems Rules Model
One of three models used to describe system functionality. It identifies constraints that are imposed on systems functionality due to some aspect of system design or implementation.
SV-10b Systems State Transition Description
One of three models used to describe system functionality. It identifies responses of systems to events.
SV-10c Systems Event-Trace Description
One of three models used to describe system functionality. It identifies system-specific refinements of critical sequences of events described in the Operational Viewpoint.

Creating an integrated architecture using DoDAF

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Illustration of the integrated architecture.[1]

The DODAF 2.0 Architects Guide [14] repeated DOD Instruction 4630.8 definition of an integrated architecture as "An architecture consisting of multiple views facilitating integration and promoting interoperability across capabilities and among integrated architectures. For the purposes of architecture development, the term integrated means that data required in more than one of the architectural models is commonly defined and understood across those models. Integrated architectures are a property or design principle for architectures at all levels: Capability,Component, Solution, and Enterprise (in the context of the DoD Enterprise Architecture (EA) being a federation [of] architectures). In simpler terms, integration is seen in the connection from items common among architecture products, where items shown in one architecture product (such as sites used or systems interfaced or services provided) should have the identical number, name, and meaning appear in related architecture product views."

There are many different approaches for creating an integrated architecture using DoDAF and for determining which products are required. The approach depends on the requirements and the expected results; i.e., what the resulting architecture will be used for. As one example, the DoDAF v1.0 listed the following products as the "minimum set of products required to satisfy the definition of an OV, SV and TV." One note: while the DoDAF does not list the OV-1 artifact as a core product, its development is strongly encouraged. The sequence of the artifacts listed below gives a suggested order in which the artifacts could be developed. The actual sequence of view generation and their potential customization is a function of the application domain and the specific needs of the effort.

  • AV-1 : Overview and Summary Information
  • AV-2 : Integrated Dictionary
  • OV-1 : High Level Operational Concept Graphic
  • OV-5 : Operational Activity Model
  • OV-2 : Operational Node Connectivity Description
  • OV-3 : Operational Informational Exchange Matrix
  • SV-1 : System Interface Description
  • TV-1 : Technical Standards Profile

One concern about the DoDAF is how well these products meet actual stakeholder concerns for any given system of interest. One can view DoDAF products, or at least the 3 views, as ANSI/IEEE 1471-2000 or ISO/IEC 42010 viewpoints. But to build an architecture description that corresponds to ANSI/IEEE 1471-2000 or ISO/IEC 42010, it is necessary to clearly identify the stakeholders and their concerns that map to each selected DoDAF product. Otherwise there is the risk of producing products with no customers.

DoDAF V1.5 Products Matrix[15]

The figure "DoDAF V1.5 Products Matrix" shows how the DoD Chairman of the Joint Chiefs of Staff Instruction (CJCSI) 6212.01E specifies which DoDAF V1.5 products are required for each type of analysis, in the context of the Net-Ready Key Performance Parameter (NR-KPP):

  • Initial Capabilities Document (ICD). Documents the need for a materiel solution to a specific capability gap derived from an initial analysis of alternatives executed by the operational user and, as required, an independent analysis of alternatives. It defines the capability gap in terms of the functional area, the relevant range of military operations, desired effects, and time.
  • Capability Development Document (CDD). A document that captures the information necessary to develop a proposed program(s), normally using an evolutionary acquisition strategy. The CDD outlines an affordable increment of militarily useful, logistically supportable and technically mature capability.
  • Capability Production Document (CPD). A document that addresses the production elements specific to a single increment of an acquisition program.
  • Information Support Plan (ISP).[16] The identification and documentation of information needs, infrastructure support, IT and NSS interface requirements and dependencies focusing on net-centric, interoperability, supportability and sufficiency concerns (DODI 4630.8).[17]
  • Tailored Information Support Plan (TISP). The purpose of the TISP process is to provide a dynamic and efficient vehicle for certain programs (ACAT II and below) to produce requirements necessary for I&S Certification. Select program managers may request to tailor the content of their ISP (ref ss). For programs not designated OSD special interest by ASD (NII)/DOD CIO, the component will make final decision on details of the tailored plan subject to minimums specified in the TISP procedures linked from the CJCSI 6212 resource page and any special needs identified by the J-6 for the I&S certification process.

Representation

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Representations for the DoDAF products may be drawn from many diagramming techniques including:

There is a UPDM (Unified Profile for DoDAF and MODAF) effort within the OMG to standardize the representation of DoDAF products when UML is used.

DoDAF generically describes in the representation of the artifacts to be generated, but allows considerable flexibility regarding the specific formats and modeling techniques. The DoDAF deskbook provides examples in using traditional systems engineering and data engineering techniques, and secondly, UML format.[18] DoDAF proclaims latitude in work product format, without professing one diagramming technique over another.

In addition to graphical representation, there is typically a requirement to provide metadata to the Defense Information Technology Portfolio Repository (DITPR) or other architectural repositories.

Meta-model

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DoDAF has a meta-model underpinning the framework, defining the types of modelling elements that can be used in each view and the relationships between them. DoDAF versions 1.0 thru 1.5 used the CADM meta-model, which was defined in IDEF1X (then later in UML) with an XML Schema derived from the resulting relational database. From version 2.0, DoDAF has adopted the IDEAS Group foundation ontology as the basis for its new meta-model. This new meta-model is called "DM2"; an acronym for "DoDAF Meta-Model". Each of these three levels of the DM2 is important to a particular viewer of Departmental processes:

  1. The conceptual level or Conceptual Data Model (CDM) defines the high-level data constructs from which Architectural Descriptions are created in non-technical terms, so that executives and managers at all levels can understand the data basis of Architectural Description. Represented in the DoDAF V2.0 DIV-1 Viewpoint.
  2. The Logical Data Model (LDM) adds technical information, such as attributes to the CDM and, when necessary, clarifies relationships into an unambiguous usage definition. Represented in the DoDAF V2.0 DIV-2 Viewpoint.
  3. The Physical Exchange Specification (PES) consists of the LDM with general data types specified and implementation attributes (e.g., source, date) added, and then generated as an XSD. Represented in the DoDAF V2.0 DIV-3 Viewpoint.[6]

The purposes of the DM2 are:

  1. Establish and define the constrained vocabulary for description and discourse about DoDAF models (formerly “products”) and their usage in the 6 core processes
  2. Specify the semantics and format for federated EA data exchange between:architecture development and analysis tools and architecture databases across the DoD Enterprise Architecture (EA) Community of Interest (COI) and with other authoritative data sources
  3. Support discovery and understandability of EA data:
    1. Discovery of EA data using DM2 categories of information
    2. Understandability of EA data using DM2's precise semantics augmented with linguistic traceability (aliases)
  4. Provide a basis for semantic precision in architectural descriptions to support heterogeneous architectural description integration and analysis in support of core process decision making.[6]

The DM2 defines architectural data elements and enables the integration and federation of Architectural Descriptions. It establishes a basis for semantic (i.e., understanding) consistency within and across Architectural Descriptions. In this manner, the DM2 supports the exchange and reuse of architectural information among JCAs, Components, and Federal and Coalition partners, thus facilitating the understanding and implementation of interoperability of processes and systems. As the DM2 matures to meet the ongoing data requirements of process owners, decision makers, architects, and new technologies, it will evolve to a resource that more completely supports the requirements for architectural data, published in a consistently understandable way, and will enable greater ease for discovering, sharing, and reusing architectural data across organizational boundaries.[6]

To facilitate the use of information at the data layer, the DoDAF describes a set of models for visualizing data through graphic, tabular, or textual means. These views relate to stakeholder requirements for producing an Architectural Description.[6]

Relationship to other architecture frameworks

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The UPDM (Unified Profile for DoDAF and MODAF) is an OMG initiative to standardize UML and SysML usage for USA and UK defense architecture frameworks. In addition, the multi-national IDEAS Group, which is supported by Australia, Canada, Sweden, UK, USA, with NATO observers, has launched an initiative to develop a formal ontology for enterprise architectures.

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The Department of Defense Architecture Framework (DoDAF) is an official, standardized methodology and conceptual model employed by the U.S. Department of Defense (DoD) to develop, organize, and present enterprise architectures that support , enhance , and align resources with operational needs across all levels of the organization. Version 2.02, released in August 2010 and remaining the current iteration as of 2025, shifts from earlier product-centric approaches to a -centric paradigm, emphasizing reusable architectural over rigid views to promote net-centricity and service-oriented architectures. This framework evolved from the Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Architecture Framework in the late , through versions like DoDAF 1.0 (2004) and 1.5 (2007), to address feedback from acquisition, , and portfolio management communities by incorporating a formal and meta-model for consistency. DoDAF's primary objectives include facilitating organized information sharing among diverse stakeholders, supporting the DoD in compliance with the Clinger-Cohen Act of 1996, and enabling the adoption of net-centric services to improve capability development, system integration, and sustainment. It provides guidance for creating "fit-for-purpose" architectural descriptions that abstract complex information into understandable formats, ensuring architectures are traceable, verifiable, and aligned with DoD goals such as promoting and managing intra- and inter-agency operations. The framework supports six core DoD processes: the Joint Capabilities Integration and Development System (JCIDS), Defense Acquisition System (DAS), Planning, Programming, Budgeting, and Execution (PPBE), (SE), Operations Planning, and Capability Portfolio Management (PfM/CPM). At its core, DoDAF structures architectures through eight viewpoints—All (AV), Capability (CV), Data and Information (DIV), Operational (OV), Project (PV), Services (SvcV), Standards (StdV), and Systems (SV)—each comprising specific models (totaling 52) to visualize in tabular, structural, behavioral, or pictorial forms. These viewpoints enable stakeholders to focus on areas of interest, such as operational scenarios (OV), capability evolution (CV), or service exchanges (SvcV), while the DoDAF Meta-Model (DM2) serves as the foundational ontology for defining, integrating, and exchanging architectural , replacing the older Core Architecture Data Model (CADM). Conformance to DoDAF is mandatory for DoD components to the maximum extent possible, ensuring architectures are shareable and compliant via the Physical Exchange Specification (PES) for , though it allows flexibility in model selection based on purpose.

Introduction

Overview

The Department of Defense (DoDAF) is a standardized for organizing, describing, and presenting information to facilitate informed across defense systems and enterprises. It provides a and set of guidelines that enable the creation of architectural descriptions, emphasizing data-centric approaches to ensure , reusability, and alignment with DoD objectives. DoDAF evolved from earlier frameworks such as the Command, Control, Communications, Computers, , , and (C4ISR) to address broader enterprise needs. At its core, DoDAF addresses six key interrogatives to structure architectural analysis: why (capabilities and motivations), what (activities and resources), how (functions and resource flows), where (locations and networks), who (performers and organizations), and when (timelines and evolution). These interrogatives guide the development of models that capture essential elements of defense architectures, promoting a common understanding among stakeholders. DoDAF plays a pivotal role in aligning strategic goals with operational and technical implementations by linking high-level capabilities to specific activities, systems, and projects across DoD enterprises. This alignment supports core processes like capability development, acquisition, and portfolio management, ensuring that architectures are fit-for-purpose and contribute to net-centric operations and enterprise transformation. The framework's foundation stems from federal mandates, including the Clinger-Cohen Act of 1996, which requires the development and maintenance of architectures to optimize IT investments and achieve agency missions. DoDAF fulfills these requirements by providing a prescribed structure for architectural descriptions within the DoD.

Purpose and Capabilities

The Department of Defense Architecture Framework (DoDAF) primarily aims to facilitate among systems and components across the DoD enterprise by establishing standardized concepts and models that ensure consistent data representation and exchange. It promotes reusability of architecture data through the DoDAF Meta-Model (DM2), which enables the sharing and integration of architectural information among Joint Capability Areas, DoD components, and federal partners, reducing redundancy in development efforts. Additionally, DoDAF supports informed in key areas such as acquisition, operations, and sustainment by providing traceable and verifiable architectural descriptions that inform and performance evaluation. DoDAF's capabilities extend to supporting systems engineering processes by integrating architectural data into solution design, verification, and validation activities, ensuring alignment between operational needs and technical implementations. It aids capability portfolio management by offering a framework for assessing and prioritizing capabilities across the enterprise lifecycle, including and roadmap development. For net-centric operations, DoDAF emphasizes service-oriented architectures that enable seamless information sharing and joint mission execution in distributed environments. DoDAF aligns closely with the DoD's Joint Capabilities Integration and Development System (JCIDS) by providing architectural inputs for capability requirements definition and validation, and with the Defense Acquisition System (DAS) by supporting milestone reviews and risk assessment through data-centric artifacts. This alignment ensures that architectures contribute to enterprise-wide coherence in planning, programming, budgeting, execution, and operations. Central to these functions is an emphasis on data-driven architectures that are traceable to requirements, verifiable against standards, and shareable via federated exchange specifications, fostering collaboration across DoD stakeholders. Viewpoints within DoDAF serve as tools to achieve these purposes by tailoring architectural representations to specific stakeholder needs.

History

Origins and Early Development

The origins of the Department of Defense Architecture Framework (DoDAF) trace back to the early 1990s, when the Defense Science Board identified the need for integrated architectures to ensure interoperability and cost-effectiveness in military systems. This led to the development of the Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Architecture Framework, which was first released as version 1.0 on June 7, 1996, by the DoD C4ISR Architecture Working Group. The C4ISR Framework provided initial guidance for describing architectures in three views—operational, systems, and technical—to support mission and systems integration across DoD components. The Clinger-Cohen Act of 1996 played a pivotal role in shaping these early efforts, mandating federal agencies, including the DoD, to develop and maintain information technology architectures to justify IT investments and maximize their effectiveness. In response, the DoD expanded the C4ISR Framework to address broader architectural needs beyond just C4ISR domains, emphasizing standardized descriptions for capital planning and resource allocation. This policy-driven push aligned with recommendations from the 1995 Defense Science Board task force on C4ISR integration, which highlighted the lack of common architectural approaches as a barrier to seamless operations. In the late 1990s, the DoD intensified efforts to standardize architecture practices for operations and systems integration, building on C4ISR version 2.0 released in December 1997. These initiatives involved collaboration among unified commands, services, and agencies to create interrelatable architectures that facilitated and reduced duplication in defense acquisitions. The focus was on establishing a common methodology to describe operational activities, system interfaces, and technical standards, addressing gaps in identified during exercises and acquisition reviews. These foundational developments culminated in the initial release of DoDAF Version 1.0 on August 15, 2003, which formalized a comprehensive framework for consistent descriptions across the DoD. Version 1.0 evolved directly from the C4ISR lineage, adopting its core views while expanding to encompass all warfighting and business domains, thereby responding to the ongoing need for integrated architectural products in support of DoD core processes.

Evolution of Versions

The evolution of the Department of Defense Architecture Framework (DoDAF) reflects ongoing efforts to adapt to technological advancements and operational needs within the U.S. Department of Defense. Version 1.5, released on April 23, 2007, marked the initial phase of transformation from earlier iterations, introducing refinements to the existing view structure to enhance alignment with service-oriented architectures (SOA). Specifically, it added new products such as SV-4a (Systems Functionality Description), SV-4b (Systems Service Functionality Description), SV-5a (Operational Activity to Systems Traceability Matrix), SV-5b (Systems Functionality to Systems Traceability Matrix), and SV-5c (Systems Services to Systems Traceability Matrix) to better describe system and service functionalities, traceability, and interfaces, thereby supporting distributed capabilities and standard interfaces. These updates emphasized a data-centric approach through the Core Architecture Data Model (CADM) version 1.5, promoting consistent data representation and federation across DoD architectures to improve semantic clarity via an Integrated Dictionary (AV-2). Building on this foundation, was approved and released on May 28, 2009, representing a substantial shift from a product-centric —focused on predefined views—to a more flexible, data-centric framework organized around viewpoints and models. This version replaced rigid products with "fit-for-purpose" views tailored to stakeholder needs, introducing new viewpoints such as the Capability Viewpoint and Project Viewpoint to support capability portfolio management and resource flows beyond just information, including materiel and personnel. The emphasis on data-centricity was enabled by the introduction of the DoDAF Meta-Model (DM2), which provides a structured foundation for collecting, organizing, and reusing architectural through its Conceptual (CDM), Logical (LDM), and Physical Exchange Specification (PES). also expanded guidance for net-centric services and SOA development, ensuring architectures adhere to principles of and as outlined in DoD Instruction 4630.8. DoDAF Version 2.02, released in August 2010 as the approved and current iteration at the time, incorporated minor clarifications and fixes from the interim Version 2.01 (baselined February 2010), focusing on enhancements to the DM2 and conformance criteria without altering the core structure. Key refinements included detailed semantics for DM2 relationships, such as activity-based performers for resource flows and explicit mappings of models to DM2 elements, to facilitate better data exchange, , and tool via PES implementation. Conformance requirements were clarified to mandate alignment of architectural data with DM2 concepts, associations, and attributes, while distinguishing between standards applicability and full compliance in the updated Standards Viewpoint (formerly Technical Standards Viewpoint). Throughout these versions, the primary drivers for DoDAF's evolution have been the DoD's increasing emphasis on net-centricity—to enable globally interconnected, end-to-end operations—and , with SOA serving as a critical enabler for service-based and trusted . These changes align with broader DoD strategies, such as the Net-Centric Data Strategy, to support federated architectures and integration with emerging standards.

Core Concepts

Viewpoints and Models

The Department of Defense Architecture Framework (DoDAF) organizes enterprise architectures through and models, which provide structured ways to represent complex systems and processes. serve as high-level perspectives that group related models to address specific stakeholder concerns, such as operational activities, system functionalities, or capability dependencies. By dividing the into these focused , DoDAF enables stakeholders to examine manageable portions of the enterprise without losing overall coherence. Models within DoDAF are the tangible artifacts—typically graphical, tabular, or textual representations—that populate each viewpoint and capture in a standardized format. For instance, models might include matrices, diagrams, or lists that illustrate relationships between elements like processes, systems, or resources. These models draw from a shared foundation, ensuring consistency and across the . To achieve comprehensive coverage, DoDAF architectures must integrate multiple , as no single perspective fully describes the enterprise. This combination allows decision-makers to trace threads, such as how operational needs link to system implementations or project timelines. The framework adopts a data-centric approach, where models are derived from underlying architectural data, promoting reusability and alignment with broader Department of Defense objectives. DoDAF follows a "Fit-for-Purpose" principle, where models are selected and developed only as necessary to meet specific architecture goals or stakeholder requirements. No models are mandatory; all are optional and can be tailored based on context, such as regulatory needs or decision support. This flexibility ensures architectures remain efficient and aligned with DoD processes.

DoDAF Meta-Model (DM2)

The DoDAF Meta-Model (DM2) serves as a common for the Department of Defense Architecture Framework, providing a standardized set of entities, relationships, and attributes that form the foundational data schema for representing architectural descriptions consistently across DoD enterprises. It establishes a constrained vocabulary and semantics to support integration and federation of architecture data, drawing on the formal of the International Defence Enterprise Architecture Specification (IDEAS) for precision and mathematical rigor. By defining these core elements, the DM2 enables architects to capture and organize data in a way that aligns with DoD's core processes, such as the Joint Capabilities Integration and Development System (JCIDS) and Planning, Programming, Budgeting, and Execution (PPBE). The DM2 is organized into three progressive schema levels to accommodate different levels of detail and user needs. The Conceptual Data Model (CDM) offers a high-level abstraction of key architecture concepts, such as Capability and Performer, without technical implementation details, making it suitable for enterprise executives and non-technical stakeholders. The Logical Data Model (LDM) refines the CDM by incorporating attributes, cardinalities, and precise relationships—often visualized using Unified Modeling Language (UML) with the IDEAS profile— to provide unambiguous definitions for architectural elements like resource flows and operational activities. At the Physical Exchange Specification (PES) level, the model specifies practical implementation details, including data types and exchange formats such as XML Schema Definitions (XSD), to facilitate tool-neutral data sharing and storage. The DM2 ensures and across DoD systems by maintaining semantic consistency in representation and enabling federated exchanges through the DoD Metadata Registry (MDR). is achieved via dedicated elements like the Pedigree data group, which tracks relationships between requirements, decisions, and architectural artifacts, while is supported by standardized PES schemas that allow seamless integration of heterogeneous architectures from Joint Capability Areas (JCAs), Components, and partners. This registry-based approach promotes reuse and discovery, reducing redundancy and enhancing decision-making in efforts. Key data groups in the DM2 organize architectural information into focused clusters, each addressing specific aspects of enterprise description. These include:
  • Activity: Captures operational and system behaviors, including tasks and processes.
  • Capability: Defines what an enterprise can achieve, linking needs to solutions.
  • Data/Information: Represents informational exchanges and constraints.
  • Geography: Models locations and spatial relationships.
  • Measure: Specifies metrics for performance evaluation.
  • Organization: Describes structural hierarchies and roles.
  • Performer: Encompasses entities that execute activities, such as organizations or systems.
  • Project: Tracks initiatives for developing or acquiring resources.
  • Resource: Includes general assets like and services.
  • Services: Details service-oriented functionalities and interfaces.
  • System: Focuses on technological performers and their interactions.
These groups collectively form the basis for populating DoDAF viewpoints, ensuring comprehensive coverage of architectural domains.

Legacy Framework: Version 1.5

All View

The All View in the Department of Defense Architecture Framework (DoDAF) Version 1.5 serves as the foundational element for architecture descriptions, offering an overarching summary that integrates the (OV), Systems View (SV), and (TV). It establishes a common baseline by defining the architecture's scope, context, and terminology, ensuring consistency and across all products. Comprising two primary products—AV-1 and AV-2—the All View enables stakeholders to grasp the high-level intent before delving into domain-specific details. AV-1, the Overview and Summary Information product, provides an executive-level summary of the architecture in a consistent format for quick reference and comparison. It includes key elements such as the architecture's name, version, , , points of contact, assumptions, and status; the scope, encompassing included views, time frames, involved organizations, and Communities of Interest (COIs); the purpose and viewpoint, detailing type, intended users, decision-makers, and stakeholder perspectives; the context, covering mission, , threats, , and net-centric capabilities like service provider/consumer roles; tools and file formats used; and findings, including results, recommendations, risks, and constraints. Presented as a with supporting diagrams, AV-1 acts as both a planning guide during development and a post-development summary, facilitating alignment of stakeholder efforts and selection of architectures for review. AV-2, the Integrated Dictionary, functions as a centralized repository for all terms, data elements, acronyms, and relationships used throughout the architecture products. It encompasses a glossary of terms with definitions and authoritative sources (e.g., "Information Element" or "Node"); taxonomies for operational nodes, activities, systems, and their interrelationships; metadata attributes, rules, and constraints for data elements; and net-centric elements such as services and COI-related terminology. By standardizing vocabulary and ensuring data consistency, AV-2 supports reuse, interoperability, and standalone comprehension of architecture artifacts, often referenced in models like OV-6a (Operational Rules Model). The primary purpose of the All View products is to create a shared foundation for understanding the entire , linking OV, SV, and TV through standardized formats, taxonomies, and metadata. In DoDAF 1.5, they are used for high-level scoping, communicating intent and context to enable cohesive and net-centric operations prior to exploring detailed views. In contrast, DoDAF Version 2.02's All Viewpoint (AV) builds upon these by incorporating additional net-centric and capability-focused elements.

Operational View

The Operational View (OV) in the Department of Defense Architecture Framework (DoDAF) version 1.5 provides a logical description of the mission, , and operational activities, focusing on the "what" of operations without delving into system implementations. It articulates the users' needs, , interactions, and information exchanges required to conduct operations, serving as a bridge between high-level concepts and detailed system solutions. The OV products emphasize net-centric principles, such as discoverable and accessible data, to support across organizational nodes. OV-1: High-Level Operational Concept Graphic depicts the overall operational concept through a visual representation that highlights key operational nodes, activities, and unique aspects of the . Its primary purpose is to offer decision-makers a concise overview of the 's intent, scope, and operational scenarios, facilitating quick comprehension and alignment with mission objectives. The content typically includes operational nodes (such as organizations or roles), key activities, information exchanges, relationships between elements, and interactions with the external environment; it often employs graphics like maps, diagrams, or illustrations to portray mission threads or scenarios. Guidelines for OV-1 stress a freeform format for flexibility, using techniques such as UML activity diagrams or notations, while prioritizing clarity, simplicity, and iterative refinement during development; examples include conceptual depictions of battlefield operations, command structures, or DoD Electronic Commerce initiatives, where nodes and flows illustrate high-level processes without technical details. OV-2: Operational Node Connectivity Description illustrates the connectivity among operational nodes via needlines, which represent the requirements for information exchange to enable mission accomplishment. This product identifies the organizational or functional nodes involved in operations and the logical links between them, supporting analyses of interoperability, resource sharing, and net-centric data access. Contents encompass nodes (e.g., roles, organizations, or locations), needlines with unique identifiers, types of information exchanged, performance attributes (such as timeliness or quality), and summaries of exchanges; it maps directly to OV-3 for detailed exchanges and SV-1 for system interfaces. Development guidelines recommend a standard node taxonomy for consistency, graphical depictions with directional arrows for needlines, and multiple views for complex architectures; for instance, a notional service provider scenario might show nodes like headquarters and field units connected by needlines for shared situational awareness data, emphasizing logical rather than physical connections. OV-5: Operational Activity Model models the of operational activities, tasks, and workflows, detailing how they interrelate to achieve mission outcomes. It serves to analyze processes, identify redundancies or gaps in capabilities, and trace information flows, providing a foundation for capability development and process optimization in a net-centric environment. The model includes an activity hierarchy, inputs and outputs (e.g., or resources), controls and mechanisms, relationships between activities, and annotations for participating nodes or costs; it excludes system-specific hardware or software functions and links to OV-3 for elements and SV-5 for system activities. Guidelines advocate hierarchical using notations like , UML activity diagrams, or flow diagrams, with a focus on service-oriented processes; an example might decompose a operation into subtasks such as requisition, transport, and delivery, showing flows between nodes to highlight dependencies and efficiencies. OV-6: Operational Event-Trace Description (specifically OV-6c variant) captures the time-ordered of events and interactions among operational nodes in a given , emphasizing the dynamic and timing of mission execution. Its purpose is to illustrate coordination, , and timing constraints for operational threads, enabling validation of and support for dynamic analysis without referencing systems. Contents feature event , actors or nodes, timelines or lifelines, information exchanges, and triggers, often presented as sequence diagrams; it aligns with OV-2 nodes, OV-3 exchanges, and OV-5 activities for consistency. Guidelines specify UML sequence diagrams or IDEF3 process descriptions, focusing on net-centric event flows and unanticipated user interactions; for example, a mission thread for crisis response might trace events from detection to deployment across nodes, detailing timing to ensure operational feasibility. These OV products integrate with the Systems View to map operational requirements to potential system solutions, ensuring from user needs to .

Systems View

The Systems View in DoDAF Version 1.5 provides a detailed representation of the that realizes operational requirements, emphasizing the technical of hardware, software, and communications elements to support mission execution. It focuses on how systems interconnect and function to automate operational needlines, ensuring and integration across nodes in a node-centric approach. Unlike the abstract descriptions in the , this view details the concrete system solutions that enable operational activities. SV-1: Systems Interface Description
The SV-1 product illustrates the boundaries and interfaces of , identifying key system nodes, components, and their interconnections to support operational connectivity. It depicts as entities encompassing hardware (e.g., sensors, processors), software (e.g., applications, databases), and communications infrastructure (e.g., links, networks), showing how these elements interact within and across nodes. For instance, an SV-1 diagram might represent a command-and-control interfacing with hardware via protocols to exchange . This view relates directly to operational nodes from the OV-2, providing a foundation for assessing and performance in supporting missions.
SV-4: Systems Functionality Description
The SV-4 product outlines the functions performed by systems and the data flows between them, demonstrating how hardware and software capabilities fulfill operational processes. It typically employs data flow diagrams (DFDs) or functional hierarchies to map system-level functions—such as in software algorithms or data routing in communication hardware—to higher-level operational activities. Key elements include inputs/outputs, control flows, and interfaces, ensuring from functions to operational needs like or support. For example, in a tactical , SV-4 might detail how processes sensor data from hardware inputs to generate actionable outputs for . This supports the "how" of operations by verifying that functionalities align with required performance and .
SV-6: Systems Data Exchange Matrix
The SV-6 product specifies the requirements exchanged between systems, capturing attributes essential for hardware-software communication and operational effectiveness. Presented in a tabular format, it lists elements (e.g., position reports, status updates), along with exchange details such as , timeliness, format, security protocols, and quality metrics, linking producers and consumers across systems. This matrix traces to information exchanges in the OV-3, ensuring that communications handles flows reliably, such as encrypted transmissions between ground stations and airborne software systems. By defining these exchanges, SV-6 facilitates testing and system upgrades to meet evolving operational demands.
In DoDAF 1.5, the Systems View adopts a node-centric modeling approach, contrasting with the resource-based modeling in the Systems Viewpoint of Version 2.02.

Technical Standards View

The Technical Standards View (TV) in DoDAF version 1.5 provides a framework for defining the technical standards, rules, and conventions that govern the of systems to ensure and compliance across Department of Defense (DoD) architectures. It establishes a minimal set of guidelines for the arrangement, interaction, and interdependence of system elements, supporting consistent development and integration in net-centric environments. By focusing on applicable and emerging standards, the TV helps align system designs with operational needs while promoting the use of open, non-proprietary protocols to avoid and enhance . The primary purpose of the TV is to define technical "rules" that enable systems to adhere to common building blocks, facilitating product line development and compliance with DoD policies such as the Net-Centric Data Strategy. This view covers standards in key areas including communications (e.g., networking protocols), security (e.g., information protection criteria), and data formats (e.g., exchange specifications), ensuring that architectures remain adaptable and interoperable without reliance on proprietary solutions. These standards constrain and inform other views, such as linking to systems interfaces in the Systems View to verify technical alignment. TV-1, the Technical Standards Profile, lists the current standards, specifications, and protocols applicable to systems and services, organized by service areas like , web applications, and networking. It includes details on standard versions, compliance requirements, and applicability to specific system elements, drawing from sources such as the DoD Information Technology Standards Registry (DISR) and the DoD Technical Reference Model. For example, representative standards in TV-1 encompass XML 1.0 for data interchange, for Ethernet communications, and for environmental testing, ensuring that implementations meet criteria.
Service AreaExample StandardVersionApplicability Example
Data Management1.0System data elements (SV-6)
CommunicationsIEEE 802.3N/ASystems communications (SV-2)
SecurityDoD IT StandardsN/AInformation security (SV-11)
TV-2, the Technical Standards Forecast, projects emerging standards and their anticipated impacts on existing systems over defined timelines, such as short-term (0-6 months) or mid-term (6-12 months). This product aids in transition planning by correlating future standards with technology forecasts, helping to identify potential upgrades or migrations. Representative examples include the adoption of for networking evolution and new cybersecurity protocols to address advancing threats, ensuring long-term architectural sustainability.

Current Framework: Version 2.02

All Viewpoint (AV)

The All Viewpoint (AV) in DoDAF version 2.02 serves as the foundational element for architectural descriptions, offering overarching context, scope, and a standardized vocabulary that integrates all other viewpoints. It establishes a unified entry point by capturing high-level information essential for stakeholders, ensuring coherence and across enterprise architectures. Unlike domain-specific viewpoints, AV focuses on holistic aspects such as assumptions, constraints, and metadata, facilitating decision-making in DoD processes like the Joint Capabilities Integration and Development System (JCIDS) and Planning, Programming, Budgeting, and Execution (PPBE). This viewpoint emphasizes a data-centric approach, aligning architectural efforts with net-centric principles and service-oriented architectures to support federation and reuse. A key purpose of the AV is to provide a consistent framework for development, defining boundaries and assumptions that enable enterprise-wide application. In version 2.02, it highlights scope limitations based on the 's focus—such as enterprise, segment, or solution levels—while documenting foundational premises like the iterative nature of architectures as snapshots in time. This ensures that assumptions about operational models, legacy systems, and validation activities are explicitly stated to guide high-level decisions and avoid misalignments. The AV thus acts as a navigation aid, allowing quick reference and comparison among multiple architectural descriptions registered in the DoD Architecture Repository System (DARS). The AV-1, or Overview and Summary Information, delivers an executive-level synopsis of the architecture, including its identification, purpose, context, status, and development schedule. It outlines the architectural description's name, , , approving , and completion date, alongside assumptions, constraints, and effort levels. The scope section details covered , models, and fit-for-purpose views, often presented via a coverage matrix that maps the architecture's breadth and temporal aspects, such as timelines and organizational entities. Additional elements cover mission context, , scenarios, threats, standards, tools, file formats, and optional findings or costs, supporting stakeholder orientation and analysis. This model has been expanded in 2.02 to emphasize enterprise boundaries and integration with the DoDAF Meta-Model (DM2) for data consistency. The AV-2, known as the Integrated Dictionary, functions as a centralized repository for all metadata, terms, abbreviations, and relationships used throughout the , ensuring semantic precision and consistent . It organizes content hierarchically by DM2 areas, including capabilities, resource flows, activities, performance parameters, performers, skills, standards, and triggers/events, with text definitions and references to authoritative sources like the DM2 or external taxonomies such as the (FEA) Reference Models. In 2.02, AV-2 aligns explicitly with DM2 concepts, associations, and attributes, supporting ontology-based modeling and traceability to enable data exchange via the Physical Exchange Specification (PES) and XML schemas. This alignment promotes by allowing local terms to map to standard definitions, facilitating harmonization across DoD enterprises. Compared to the legacy All View in version 1.5, the AV in 2.02 incorporates data-centric updates, shifting from rigid products to flexible views while enhancing emphasis on scope boundaries and DM2 integration for broader enterprise applicability.

Capability Viewpoint (CV)

The Capability Viewpoint (CV) in the Department of Defense Architecture Framework (DoDAF) version 2.02 provides a high-level strategic perspective on the capabilities required to achieve mission objectives, focusing on , , dependencies, and alignment with organizational development. It enables capability portfolio managers to visualize how capabilities evolve over time, support incremental acquisition strategies, and integrate with processes such as the Joint Capabilities Integration and Development System (JCIDS) and Planning, Programming, Budgeting, and Execution (PPBE). By emphasizing what capabilities are needed rather than how they are implemented, the CV facilitates , portfolio , and to broader enterprise goals, ensuring architectures align with strategic planning. The CV-1, or Capability Vision, offers a high-level graphical or textual depiction of the strategic context and vision for a set of capabilities over a specified timeframe. It articulates the overall operational concept, enterprise goals, desired outcomes, and measurable benefits, linking high-level strategies to specific capability requirements. This model serves as an executive summary to communicate transformational objectives to decision-makers, providing scope, key players, interactions with external environments, and relationships to strategic goals, while avoiding detailed implementation specifics. For instance, it might outline how enhanced capabilities support joint operations in contested environments, highlighting dependencies on supporting capabilities like secure communications. The CV-2, known as the Capability Taxonomy, establishes a hierarchical structure of capabilities, presenting them in a tree-like format to show relationships such as sub-supertype or specialization-generalization. It captures the full range of current and future capabilities referenced in the architecture, enabling identification of requirements, reuse, and without tying to specific systems or processes. This model supports planning by organizing capabilities logically—for example, grouping "joint fires" under broader "strike" capabilities—and may include timelines or attributes like quantitative measures (e.g., response times or ranges) for leaf-level capabilities, often presented textually, tabularly, or graphically. While primarily taxonomic, it implies dependencies through hierarchical linkages, facilitating understanding of how capabilities interrelate strategically. Building on the taxonomy, the CV-3, or Capability Phasing, illustrates the planned achievement and evolution of capabilities across time periods or phases, serving as a baseline for through associated measures and thresholds. It depicts increments of capability delivery tied to milestones, showing states (e.g., as-is or to-be), dependencies between phases, and key metrics such as readiness levels or performance thresholds to assess shortfalls or duplications. Typically formatted as a table with capabilities from CV-2 as rows and phases from CV-1 as columns, it uses visual elements like color-coded bars to highlight progress; for example, it might track the phasing of cyber defense capabilities, including thresholds for threat detection rates. This model supports integration planning and audits by comparing desired versus planned . The CV-5, or Capability to Organizational Development Mapping, links capabilities to organizational structures and projects, focusing on what the Department of Defense (DoD) needs to achieve missions by mapping planned deployment to responsible entities. It shows how capabilities are assigned to organizations, performers, or locations for development, fielding, and sustainment in specific phases, including interactions derived from systems or services views. Presented often in a tabular format with organizations on one axis and capabilities on the other, it aids fielding planning, gap analysis, and redundancy identification—for instance, mapping logistics capabilities to specific commands and their project timelines. Drawing from project timelines and organizational hierarchies, this model ensures traceability to delivery mechanisms without prescribing solutions.

Data and Information Viewpoint (DIV)

The Data and Information Viewpoint (DIV) in DoDAF 2.02 provides a structured approach to modeling data and information requirements at three abstraction levels—conceptual, logical, and physical—to support operational and business needs within Department of Defense architectures. This viewpoint emphasizes the semantic aspects of information, including its meaning, relationships, and rules, rather than physical representations, enabling architects to define data constructs that facilitate interoperability across systems and communities of interest. By aligning with the DoDAF Meta-Model (DM2), DIV ensures semantic consistency through standardized data groups such as Resources, Activities, Measures, Performers, and Rules, which underpin all architectural descriptions. The primary purpose of DIV is to promote data discoverability, exchange, and reuse, reducing redundancy and errors in architecture development while supporting decision-making in core DoD processes like capability portfolio management and systems engineering. DIV-1, the Conceptual Data Model, offers a high-level representation of key data entities, attributes, and inter-relationships without delving into technical implementation details, focusing instead on business-level information requirements. It identifies core information concepts, such as trajectories and targets in a missile defense scenario, and their hierarchies to align with enterprise interests and operational needs. This model correlates with other viewpoints, like the Operational Viewpoint's OV-2 (High-Level Operational Concept Graphic) and OV-5b (Operational Activity Model), to ensure data supports broader architecture traceability. Guidelines for DIV-1 emphasize defining entity types and relationships at a level sufficient for stakeholder communication, with detail varying based on interoperability criticality, and it serves as the foundation for decomposing into more detailed models. Building on DIV-1, the DIV-2 Logical Data Model provides a detailed specification of requirements, including entities, attributes, cardinalities, and structural rules, independent of any specific or product. It acts as a common for definitions, often depicted using entity-relationship diagrams for relational approaches or class diagrams for object-oriented ones, and incorporates quality measures like (3NF) normalization to avoid semantic overlaps. Evolved from the legacy OV-7 in DoDAF 1.5, DIV-2 maps logical elements to operational models such as OV-5b and OV-6c (Operational Event-Trace Description), ensuring precise expression of needs for requirements generation and validation. Through alignment with DM2 groups like Performers and Resource Flows, it maintains consistency across architectures, supporting activities such as registration in the DoD Metadata Registry. The DIV-3 Physical Data Model translates the logical structures from DIV-2 into implementable schemas for storage, processing, and exchange, specifying details like data types, keys, and formats to minimize risks. Representations may include tables, object models, or message formats compliant with standards, often generated as Definitions (XSD) registered in the DoD Metadata Registry under the ARCH namespace. Derived from the legacy SV-11 in DoDAF 1.5, DIV-3 incorporates elements from systems and services , such as resource flows in SV-6, while capturing performance modifications and structural assertions. Its guidelines allow flexibility based on implementation choices, like management systems or flat files, but require back to DIV-2 for . Collectively, the DIV models ensure data interoperability by establishing traceability from high-level conceptual needs in DIV-1 through logical definitions in DIV-2 to physical realizations in DIV-3, all grounded in DM2's ontology for uniform semantics and exchange protocols. This progression supports federation across DoD communities of interest, enabling efficient and reducing integration challenges in complex architectures. DIV models integrate with standards defined in the Standards Viewpoint (StdV) to enforce compliance in data formats and protocols.

Operational Viewpoint (OV)

The Operational Viewpoint (OV) in DoDAF 2.02 articulates the tasks, activities, operational elements, and resource flows that support operations, independent of specific solutions. It focuses on "as-is" and "to-be" architectures to define user requirements, enhance at the operational level, and facilitate by linking operational contexts to broader capabilities. Key elements include performers (such as organizations or roles executing activities), activities (hierarchical tasks aligned with missions), and information exchanges (resource flows like data or between activities), all traceable to DoDAF Meta-Model (DM2) entities for data consistency and reuse across viewpoints. This viewpoint emphasizes abstract operational descriptions to support and boundary definition, with models mapping to DM2 concepts such as Activity, Performer, and . OV-1, the High-Level Operational Concept Graphic, provides a graphical or textual overview of the operational concept, mission scope, or scenario to orient stakeholders and decision-makers. It depicts high-level business activities, missions, organizations, geographical distributions, and interactions with external environments, often using flexible formats like diagrams, videos, or narratives to highlight unique operational aspects. In DoDAF 2.02, OV-1 is enhanced with links to the Capability Viewpoint (CV) models, allowing traceability to strategic capabilities and providing context for without delving into system details. Guidelines recommend tailoring the model to the architecture's phase or time period, ensuring it serves as an executive summary that complements more detailed OV models. OV-5, the Operational Activity Model, decomposes and models operational activities to illustrate their relationships, inputs, outputs, and flows, supporting requirements validation and optimization. It consists of two sub-models: OV-5a, a hierarchical tree decomposing activities and linking them to performers or organizational nodes; and OV-5b, a relational showing activity sequences, dependencies, and resource exchanges using BPMN-like notations for flows. This model emphasizes conceptual understanding of operational workflows, such as how exchanges enable mission tasks, and aligns with DM2 for analysis. By focusing on user-level activities, OV-5 aids in defining boundaries and tracing to capabilities, ensuring architectures remain materiel-agnostic. OV-6c, the Event-Trace Description, captures dynamic operational behaviors through time-ordered sequences of events, actions, and resource flows in specific scenarios. It represents interactions among performers and activities using notations like sequence or timing diagrams, detailing operational threads with timing, triggers, and exchanges to analyze non-functional requirements such as response times. Linked to OV-3 (resource flow matrix) and OV-5b, OV-6c supports test scenario development and behavioral validation, tracing to DM2 entities like Event and Resource Flow for consistent data representation. This model is particularly useful for illustrating how activities unfold chronologically, enhancing understanding of operational dynamics without specifying implementations.

Project Viewpoint (PV)

The Project Viewpoint (PV) in the Department of Defense Framework (DoDAF) version 2.02 provides models that detail the programs, projects, portfolios, or initiatives responsible for delivering capabilities, including their organizational context, dependencies, and timelines. It serves as a critical bridge between high-level strategic plans—such as those outlined in capability and operational viewpoints—and the practical execution of realization, enabling informed decision-making in processes like the , Programming, Budgeting, and Execution (PPBE) cycle, Capabilities Integration and Development (JCIDS), and acquisition management. By focusing on project-oriented elements, the PV supports portfolio management, identification, and resource alignment, ensuring that architectural efforts translate into tangible outcomes without delving into capability definitions or standards application. Central to the PV is its emphasis on dependencies and interrelationships, which help analysts and decision-makers visualize how individual projects contribute to broader portfolios and mitigate potential execution risks, such as delays from interdependent milestones. For instance, the viewpoint integrates with organizational structures from the Operational Viewpoint (OV) to show how projects are managed within performer hierarchies, but it prioritizes delivery planning over operational scenarios. This temporal and relational focus distinguishes the PV from other viewpoints, as it operationalizes abstract requirements into schedulable, accountable activities, often incorporating elements like funding flows and work breakdown structures to track progress toward capability delivery. PV-1: Project Portfolio Relationships articulates the dependencies and hierarchical groupings among projects, , portfolios, and initiatives, illustrating how they are organized under actual entities like acquisition offices or commands. This model depicts relationships such as funding dependencies, resource flows, and contributions to operational activities or desired effects, often using hierarchical diagrams or matrices to highlight portfolio-level alignments. It enables the analysis of cross- interdependencies, supporting by tracing outputs back to strategic goals and identifying potential bottlenecks in organizational execution. For example, PV-1 might show how multiple acquisition projects under a single portfolio depend on shared organizational performers, facilitating during the PPBE Programming Phase. PV-2: Project Timelines offers a Gantt-style visualization of schedules, capturing key milestones, phases, work streams, and interdependencies across programs or portfolios. Elements include start and end dates, lifecycle stages aligned with DoD Directive 5000.01 (e.g., technology development or production), and maturity indicators for factors like , , training, materiel, leadership, personnel, facilities, and policy (). This model identifies risks associated with timeline slippages, such as those from dependent s or resource constraints, and supports acquisition oversight by highlighting critical paths and optimization opportunities. In practice, PV-2 timelines integrate cost data via work breakdown structures, aiding in the management of fielding processes and ensuring milestones align with broader capability phasing. PV-3: Project to Capability Mapping traces the allocation of projects, programs, or portfolios to specific capabilities they deliver, using matrices or phased diagrams to indicate support levels (e.g., via "X" for full support, blanks for gaps, or dates for timed contributions). This model reveals redundancies, shortfalls, or overlaps in capability realization, often over multiple timeframes or scenarios, and supports audits by linking project phases to capability measures and requirements. It assigns project efforts to capability elements without prescribing resource details, focusing instead on ensuring execution aligns with strategic needs, such as in investment prioritization or gap analysis during capability portfolio reviews. For instance, PV-3 can demonstrate how a portfolio of initiatives phases in support for a given capability, informing decisions on adjustments to project scopes. Overall, the PV models collectively facilitate the transition from to by incorporating risks (e.g., dependency delays) and milestones into executable frameworks, enhancing DoD's ability to deliver architectures efficiently.

Services Viewpoint (SvcV)

The Services Viewpoint (SvcV) in DoDAF 2.02 provides a framework for modeling services and their interconnections in a net-centric environment, emphasizing service-oriented architectures (SOA) to support operational, capability, warfighting, and business functions across the Department of Defense (DoD). It defines services as performers that deliver capabilities through activities, decoupling operational requirements from specific resource implementations to enable reusability and . This viewpoint links service resources to operational and capability architectures, facilitating the design of solutions that articulate performers, activities, services, and exchanges. SvcV-1, the Services Context Description, identifies services, their interfaces, and interactions within the architecture, depicting services, service items, and interconnections to link operational and services models. It shows how resources are structured to interact, including service ports, performers, interfaces, and resource flows, while optionally incorporating operational activities or locations. This model provides a structural overview of service relationships and dependencies, supporting SOA by clarifying providers, consumers, and boundaries. SvcV-4, the Services Functionality Description, details the functions performed by services and their relationships to activities, specifying data flows and interactions among services. It decomposes services to illustrate task workflows, functional requirements, and connectivity, including service functions, activities, resource flows, and data repositories. By mapping services to operational and system activities, SvcV-4 ensures that service behaviors align with broader needs, such as inputs, outputs, and internal/external data stores. SvcV-6, the Services Resource Flow Matrix, specifies the characteristics of resource flows—such as or —exchanged between services, focusing on those crossing service boundaries in a tabular format. It models exchanges between services and performers, including attributes like periodicity, , and data standards, along with measures such as (QoS) metrics (e.g., bit loss rate or ). This matrix supports analysis of service interactions and , identifying critical interfaces for net-centric environments. The SvcV supports SOA principles by modeling services as reusable, decoupled units with self-describing ports and interfaces, enabling discovery, composition, and efficient resource sharing in line with standards from organizations like OASIS and OMG. It emphasizes net-centric implementations where services act as mechanisms to access capabilities via prescribed interfaces, incorporating agreements and reuse to align with DoD policies and constraints. This approach evolves from earlier systems-focused views by prioritizing abstract service abstractions over concrete hardware implementations.

Standards Viewpoint (StdV)

The Standards Viewpoint (StdV) in the Department of Defense Architecture Framework (DoDAF) version 2.02 establishes the foundational rules and guidelines for ensuring architectural compliance, interoperability, and technical governance across DoD systems, operations, and capabilities. It articulates applicable policies, standards, constraints, and forecasts that govern the design, implementation, and evolution of architectures, supporting processes such as the Joint Capabilities Integration and Development System (JCIDS), Defense Acquisition System (DAS), Planning, Programming, Budgeting, and Execution (PPBE), , and capability portfolio management. By defining a minimal set of rules for the arrangement, interaction, and interdependence of architectural elements, the StdV facilitates federated data exchange, risk-based conformance assessments, and alignment with the DoD Information Enterprise Architecture (IEA). The StdV comprises two primary models: the StdV-1 Standards Profile and the StdV-2 Standards Forecast. The StdV-1 Standards Profile serves as a catalog of current standards, rules, and constraints applicable to the , including technical, operational, business, and industry standards such as those from the DoD Information Enterprise Architecture (DIEA) Standards Registry and protocols for secure data exchange. It identifies and lists standards that constrain design choices, ensuring solutions satisfy operational or capability requirements, and documents their applicability to specific architectural elements like systems, services, and resource flows. For instance, it may reference security protocols or interoperability standards to enforce consistent performance across components. Complementing the StdV-1, the StdV-2 Standards Forecast provides a detailed projection of emerging standards expected to influence future architectures, including timelines for adoption and potential impacts on existing solutions. This model aids in planning technology insertion by correlating forecasts with evolutionary timelines in other , such as or service migration plans, and highlights areas of standard fragility to inform strategic decisions. It enables proactive by anticipating changes in standards that could affect or compliance over defined periods. Traceability matrices within the StdV link standards to key architectural elements, promoting integrated governance and verification of compliance. These matrices map standards from the StdV-1 and StdV-2 to capabilities in the Capability Viewpoint (CV), operational activities and resource flows in the Operational Viewpoint (OV), and systems or services in the Systems Viewpoint (SV) or Services Viewpoint (SvcV), ensuring that standards directly support and constrain these domains. For example, a traceability matrix might connect a security standard to specific operational nodes or system interfaces, facilitating impact analysis and alignment across the architecture. This approach leverages the DoDAF Meta Model (DM2) for structured data exchange and consistency in traceability. The StdV provides targeted profiles for critical areas, including , , and technology insertion, to address specific needs. In , it incorporates (IA) rules, such as classification levels, releasability controls, and schemas like the Intelligence Community Information Security Markings (IC-ISM) in the (PES), integrated into resource flows for protected exchanges. For , profiles enforce common protocols and standards from the (DISA) Interoperability Standards Registry (DISR), enabling seamless interactions between disparate systems and services. Regarding technology insertion, the profiles, particularly through the StdV-2, outline roadmaps for adopting new standards, assessing their effects on current architectures, and supporting evolutionary planning to maintain long-term viability. These profiles collectively ensure robust technical without delving into project-specific implementations. The StdV also briefly applies to models in the Data and Information Viewpoint by linking standards to logical data elements for compliance.

Systems Viewpoint (SV)

The Systems Viewpoint (SV) in the Department of Defense Architecture Framework (DoDAF) version 2.02 provides a detailed representation of systems and their interconnections that enable or support Department of Defense (DoD) functions, including operations, services, and capabilities. It focuses on the physical and functional aspects of systems as resources, emphasizing their composition, interfaces, internal behaviors, and interactions to ensure interoperability and alignment with operational requirements. Unlike earlier versions such as DoDAF 1.5, which centered on nodes, the SV in 2.02 adopts a resource taxonomy derived from the DoDAF Meta-Model (DM2), treating systems as performers that realize logical architectures described in the Operational Viewpoint (OV). This viewpoint aids in system design, integration, and traceability by depicting how tangible systems contribute to mission outcomes without delving into abstract service abstractions covered elsewhere. SV-1, the Systems Interface Description, identifies systems, subsystems, and their interconnections, illustrating resource flows exchanged between them to support DoD functions. Updated in DoDAF 2.02 to emphasize resource interactions, it depicts systems as nodes connected by lines representing resource flows, such as data or materiel, and may include human performers like organizations or personnel types. This model realizes the OV-2 Operational Node Connectivity Description by providing a physical implementation, enabling analysis of system options, interoperability, and integration on platforms; for example, it might show how a radar system interfaces with a command network to exchange targeting data. It supports "as-is" and "to-be" architectures, with optional overlays of operational activities or locations to trace system contributions to broader missions. SV-4, the Systems Functionality Description, outlines the functions performed by systems and the data flows among those functions, establishing a hierarchical view of system capabilities. Represented as a functional hierarchy or , it specifies inputs, outputs, and resource exchanges for each system function, mapping them to operational activities via traceability matrices like SV-5a. In DoDAF 2.02, this model ensures functional completeness by decomposing system tasks—such as in a —and identifying requirements for human- interactions. For instance, it could detail how a 's functions consume data and produce allocation reports, linking to OV-5b for operational alignment. This supports , requirements identification, and verification of performance in supporting DoD tasks. SV-10c, the Systems Event-Trace Description, captures the dynamic of systems by tracing event sequences and resource exchanges over time in specific scenarios. Often depicted as sequence or timing diagrams, it refines OV-6c Operational Event-Trace Description at the system level, showing interactions between system ports, lifelines, and external resources, including timing and responses. Key elements include resource flows triggered by events, such as a command system's response to a detection event, which might involve exchanges with allied platforms. This model aids , identification of non-functional requirements like latency, and validation of system responses in operational contexts, complementing SV-10a and SV-10b for comprehensive . In DoDAF 2.02, systems are modeled using the DM2 as "Performer" entities—assemblages of components with defined interfaces—that support services and operations through structured associations and attributes. The DM2 defines systems via entities like (e.g., data exchanged), Activity (functions performed), and Capability (effects achieved), with associations such as activityPerformedByPerformer linking system functions to operational needs and servicePartOfSystem indicating service dependencies. This ontology-based approach, informed by the IDEAS foundation, ensures data consistency and across SV models; for example, a system's resource flows are traced to capabilities via measures like capacity or time, enabling precise representation and exchange in tools compliant with DM2 standards. Systems thus provide the tangible infrastructure for services, with to operations without abstracting to service interfaces alone.

Application and Implementation

Developing Integrated Architectures

Developing integrated architectures within the Department of Defense Architecture Framework (DoDAF) involves a structured, data-centric process that ensures coherence across multiple to support and . This approach shifts from siloed product-based views to an integrated set of architectural descriptions that align strategic goals with operational and technical implementations, facilitating the federation of architectures across the Department of Defense (DoD). By leveraging DoDAF's and the DoDAF Meta-Model (DM2), architects create traceable, reusable that enables validation against mission requirements and efficient of changes throughout the lifecycle. The core process for developing these architectures follows a high-level six-step methodology outlined in DoDAF Version 2.02, emphasizing iteration and stakeholder input to build cohesive representations. The first step determines the intended use of the architecture, defining its purpose, required data categories, and success metrics, often guided by the All Viewpoint (AV) to establish a common vocabulary and overview, such as through the AV-2 Integrated Dictionary. This sets the foundation for scope definition in the second step, where boundaries, timeframes, and levels of detail are established, incorporating elements from the Capability Viewpoint (CV) to identify high-level capabilities, the Operational Viewpoint (OV) for mission threads, the Systems Viewpoint (SV) and Services Viewpoint (SvcV) for resource mappings, and the Standards Viewpoint (StdV) to ensure compliance with protocols. Subsequent steps focus on data requirements, collection, and to integrate these . In step three, architects identify necessary entities and attributes using the DM2, mapping them to specific views—for instance, operational event scenarios in OV-6c or capability dependencies in CV-3—to ensure comprehensive coverage without redundancy. Steps four and five involve gathering, organizing, and correlating across , storing it in DM2-compliant repositories, and conducting analyses to validate alignment with objectives, such as tracing capabilities to systems via SV-4 or services via SvcV-4. The final step documents results in fit-for-purpose views that synthesize the , highlighting interconnections like standards application in StdV-1 to operational needs in OV-5. This iterative cycle allows refinement based on feedback, promoting an integrated that supports end-to-end . DoDAF architectures operate at three primary levels to enable progressive integration: the Strategic (or Enterprise) level, which provides overarching guidance on capabilities and operations across the DoD enterprise; the Segment level, focusing on specific functional areas or portfolios to detail interactions; and the Solution level, which specifies implementations for particular systems or services. Integration across these levels ensures that strategic intents from the CV and OV cascade into detailed SV and SvcV mappings, with StdV enforcing consistency, allowing architects to align broad mission architectures with targeted solutions while maintaining through shared DM2 data elements. Traceability is a of integrated architecture development, achieved through the DM2, which defines standardized data elements and relationships to link and validate completeness. For example, DM2 enables tracing from high-level capabilities in CV-1 to supporting systems in SV-1, facilitating impact analysis during changes and ensuring architectural data supports and reuse across communities of interest. This supports validation by cross-referencing data against requirements and aids by identifying dependencies, reducing risks in evolving DoD environments. Best practices for this process emphasize stakeholder collaboration and iterative development to enhance architecture quality and adoption. Engaging diverse stakeholders early—such as operational users, acquisition managers, and technical experts—through workshops and reviews ensures viewpoints address varied concerns, as recommended in DoDAF's guidance for federated development. Iterative refinement, involving cycles of , , and validation, allows architectures to evolve with emerging requirements, promoting while adhering to DM2 standards for . These practices, drawn from DoDAF Journal exemplars, underscore the value of reusing existing data and conducting analyses to deliver integrated architectures that drive informed DoD decisions.

Representation and Tools

DoDAF architectures are represented through a variety of formats designed to convey complex information effectively to stakeholders, including diagrams, matrices, tables, and narratives. These formats enable the visualization of structural, behavioral, and taxonomic elements across viewpoints such as operational, systems, and services. Diagrams, often leveraging (UML) or (SysML), depict static and dynamic aspects, as seen in models like OV-1 for high-level operational concepts and SV-10c for systems event-trace descriptions. Matrices provide and mapping, such as in OV-3 for operational , while tables organize data in rows and columns for models like SV-7 systems measures. Narratives offer textual explanations or rules, complementing visual elements in AV-1 overview documents. These representation formats are flexible and can include additional aids like tree models for taxonomies, pictorial representations for locations, and timelines for programmatic views. For instance, behavioral models such as OV-5b activity diagrams use UML/SysML to illustrate processes, ensuring alignment with the DoDAF Meta-Model (DM2) for data consistency. The choice of format depends on the architectural data group, such as resource flows or services, to support decision-making without prescribing rigid structures. Several software tools facilitate the creation, management, and analysis of DoDAF architectures by providing built-in support for , models, and DM2 compliance. Sparx Enterprise Architect offers native UPDM integration for generating DoDAF-compliant diagrams and reports, enabling collaborative modeling. No Magic Cameo Enterprise Architecture (now part of ) supports DoDAF through SysML and UPDM plugins, allowing for robust viewpoint creation and validation. IBM Rational System Architect provides comprehensive DoDAF modeling capabilities, including migration from version 1.5 to and integration with requirements tools. DoD-specific tools like Vitech CORE deliver native support for DoDAF , generating automated reports and ensuring traceability across architectural elements. These tools often incorporate DM2 data dictionaries for standardized representation. To enable among tools, DoDAF employs export standards for data and model exchange. The Physical Exchange Specification (PES) serves as an XML-based format for federated data sharing, using schemas like DM2 Foundation and Domain to ensure tool- and methodology-agnostic exchange. PES facilitates the import and export of architectural datasets, supporting conformance verification. Complementing this, (XMI) handles model interchange, particularly for UML-based representations in UPDM-SysML environments, though its adoption remains partial in some tools. These standards underpin seamless collaboration in multi-tool DoD environments. Tailoring representations to "Fit-for-Purpose" architectures involves aligning formats with specific objectives, stakeholder needs, and decision contexts, without mandatory adherence to all DoDAF-described models. Architects may select or combine views—such as merging SvcV-9 with StdV-2 for composite diagrams—to focus on relevant data groups, ensuring views are easily understood for management purposes. This approach supports multiple reification levels, from operational requirements to technical solutions, and varies by use case; for example, locations can be pictorial or tabular based on analytical needs. Guidelines emphasize flexibility, scoping architectures to mission goals while maintaining DM2 , to produce decision-enabling outputs.

Relationships to Other Frameworks

Comparisons with MODAF and NAF

The Department of Defense Architecture Framework (DoDAF) and the Architecture Framework (NAF) share a viewpoint-based structure for developing enterprise architectures in defense contexts, enabling the organization of complex systems through standardized views such as operational, systems, and capability perspectives. The UK's Architecture Framework (MODAF) historically influenced NAF and was derived from earlier versions of DoDAF, but MODAF has been withdrawn and superseded by NAF version 4 (NAF v4) as of 2025. This commonality facilitates among allied forces, with NAF v4 maintaining alignment in core concepts like operational activities and resource flows. For instance, both frameworks employ layered approaches to describe architectures from strategic planning to implementation, promoting a consistent methodology for architecture development across national and international boundaries. Despite these similarities, notable differences arise from their tailored scopes: NAF v4 incorporates alliance-specific views to support multinational operations, such as detailed physical resource specifications for interoperability, extending beyond the national emphases of DoDAF by addressing NATO's need for multi-national and risk mitigation in joint environments. Additionally, NAF v4 explicitly highlights capability, program, and service-oriented views, aiding in the optimization of capability delivery and service orchestration for evolving defense needs. Direct mappings between the frameworks enhance cross-compatibility; for example, DoDAF's Capability Viewpoint (CV) approximates NAF's Strategic View for relating capabilities to operational activities, while DoDAF's Operational Viewpoint (OV) aligns closely with NAF's Operational View (NOV) for describing operational domains and tasks. Specific elements like DoDAF's CV-6 map to capability-to-activity linkages in NAF, and CV-7 connects capabilities to services, integrating with NAF's service-oriented subviews. These mappings are supported by tools like the Unified Profile for DoDAF and MODAF (UPDM), which extends to NAF for standardized SysML/UML representations. In practice, DoDAF and NAF v4 are collaboratively applied in joint and multinational projects to ensure architectural , such as in operations where shared viewpoints enable seamless data exchange and alignment of defense planning across allies. This harmonization, often through ontology-based approaches like IDEAS, supports enhanced data sharing and reduces integration challenges in international defense initiatives.

Connection to Unified Architecture Framework (UAF)

The Unified Architecture Framework (UAF), developed by the (OMG), serves as an extension that harmonizes the Department of Defense Architecture Framework (DoDAF), the UK's Architecture Framework (MODAF), and the Architecture Framework (NAF), adapting these primarily military-oriented standards for both commercial and government applications. This unification allows for consistent representation of enterprise architectures across diverse domains, incorporating UML and SysML-based modeling to support systems-of-systems integration and stakeholder-specific views. As of November 2025, UAF's formal version is 1.2 (adopted July 2022), with version 1.3 in beta (adopted March 2025). UAF version 1.2 includes explicit mappings to DoDAF version 2.02, enabling seamless alignment between the frameworks' viewpoints and models. For instance, the UAF Capability Viewpoint (CapV) overlays the DoDAF Capability Viewpoint (CV), where UAF elements such as Capability and CapabilityDependency map directly to DoDAF's Capability and CapabilityDependency, facilitating from high-level capabilities to operational and systems implementation. These mappings are detailed in UAF's traceability appendix, which provides tables linking UAF stereotypes and views to DoDAF metamodel elements, ensuring that UAF models can generate DoDAF-compliant artifacts without loss of fidelity. A key benefit of UAF lies in its domain-agnostic profiles, including those for defense, enterprise, and , which build directly on DoDAF's DoDAF Meta-Model (DM2) as the foundational for data exchange and semantic consistency. This approach promotes and extensibility beyond strict defense contexts, allowing users to apply DoDAF's structured viewpoints in commercial settings while preserving core concepts like resource flows and measure relationships. The U.S. Department of Defense encourages the use of UAF for extending architectures beyond core DoD boundaries, such as in joint commercial-government collaborations, while requiring strict conformance to DoDAF for internal architecture development to maintain standardization and . Tools supporting UAF automatically produce DoDAF views, enabling DoD practitioners to leverage UAF's broader capabilities without compromising mandatory DoDAF compliance.

Current Status

Recent Updates

In January 2025, the Department of Defense released the Mission Architecture Style Guide (MASG) as an appendix to the Mission Engineering Guide, providing standardized guidelines for developing consistent, model-based mission architectures to support joint mission analysis and systems engineering. The MASG promotes model federation, modularization, and the use of queryable models over static diagrams to represent mission threads and engineering threads, enabling better stakeholder communication and analysis in complex environments. It builds directly on the DoDAF 2.02 foundation by leveraging the Unified Architecture Framework (UAF) for refined mission and enterprise modeling, including mappings to DoDAF viewpoints as outlined in UAF version 1.2 Appendix A. DoD architecture guidance has increasingly integrated Agile and DevSecOps practices to accelerate software delivery and enhance within architectural development processes. The DoD Enterprise DevSecOps Fundamentals version 2.5, updated in October 2024, outlines how Agile principles and DevSecOps pipelines streamline acquisition pathways, incorporating , automated testing, and security-by-design into architecture-aligned software factories. This integration supports faster deployment of mission-critical capabilities, with over 50 DevSecOps-enabled software factories operational across DoD by early 2025, as detailed in the March 2025 State of DevSecOps report. A July 2025 initiative further emphasized this alignment by addressing cultural barriers to embed DevSecOps early in architecture modernization efforts. Conformance memos issued in 2025 have emphasized alignment with UAF for developing architectures, promoting across DoD components. The January 2025 memorandum accompanying the MASG release mandates UAF-based modeling for mission architectures to extend DoDAF compliance, focusing on standardized views for operations and enterprise integration. This aligns with broader DoD expectations for maximum DoDAF conformance while adopting UAF's refinements, as UAF evolves DoDAF for non-defense applicability without altering core DoDAF structures. A 2025 analysis further highlights UAF's role in integrating into DoDAF-derived frameworks for architectures.

Challenges and Future Directions

One major challenge in DoDAF adoption stems from its inherent , particularly when tailoring the framework for smaller-scale projects, where the generic meta-models often prove too coarse-grained and require significant extensions to address specific needs like sensor-to-shooter cycles or mission variants, increasing modeling effort and risking inconsistencies. This is exacerbated by the framework's emphasis on detailed views, which can overwhelm resource-constrained environments and hinder agility in rapidly evolving . Additionally, tool remains a persistent gap, as many DoDAF-supporting tools suffer from steep learning curves, insufficient support for model reuse and iteration, and a lack of formal semantics for elements like ports and connections, impeding automated assessments and seamless integration across platforms. Criticisms of DoDAF often center on its overemphasis on static documentation rather than dynamic modeling suitable for fast-paced operational environments, leading to misconceptions that it serves primarily as a compliance checkbox rather than a tool for ongoing and decision-making. This document-centric approach results in costly maintenance of models that fail to evolve with changes, fostering cultural resistance among engineers who view it as disconnected from practical design and disconnected from architects focused on representation over utility. Balancing exhaustive detail with the need for agile, iterative processes thus remains a key hurdle, as the framework's limited guidance on view construction often yields interconnected but underutilized artifacts. Looking ahead, DoDAF's evolution is poised to incorporate greater alignment with zero-trust security paradigms, as the Department of Defense Zero Trust Architecture (ZTA) defines mission-specific requirements and structures cybersecurity defenses beyond traditional perimeters. Future directions also emphasize enhanced integration of and for automated architecture generation and optimization, such as using ML algorithms to simulate system behaviors and improve assessments within DoDAF models. A primary focus lies in advancing toward digital engineering and (MBSE), with ongoing research proposing formalized taxonomies, quality metrics, and plugins to transform DoDAF from static views to dynamic, data-centric processes that support early lifecycle analysis and sustainment. This includes developing user-friendly MBSE tools with automated integration to DoDAF, reducing training barriers and quantifying benefits through empirical metrics, potentially culminating in a more comprehensive framework iteration akin to DoDAF 3.0. A July 2025 report pursuant to FY24 NDAA Section 811 addresses the maintenance of DoDAF and considerations for its potential retirement or replacement.

References

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