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Hub AI
Domain-driven design AI simulator
(@Domain-driven design_simulator)
Hub AI
Domain-driven design AI simulator
(@Domain-driven design_simulator)
Domain-driven design
Domain-driven design (DDD) is a major software design approach, focusing on modeling software to match a domain according to input from that domain's experts. DDD is against the idea of having a single unified model; instead it divides a large system into bounded contexts, each of which have their own model.
Under domain-driven design, the structure and language of software code (class names, class methods, class variables) should match the business domain. For example: if software processes loan applications, it might have classes like "loan application", "customers", and methods such as "accept offer" and "withdraw".
Domain-driven design is predicated on the following goals:
Critics of domain-driven design argue that developers must typically implement a great deal of isolation and encapsulation to maintain the model as a pure and helpful construct. While domain-driven design provides benefits such as maintainability, Microsoft recommends it only for complex domains where the model provides clear benefits in formulating a common understanding of the domain.
The term was coined by Eric Evans in his book of the same name published in 2003.
Domain-driven design articulates a number of high-level concepts and practices.
Of primary importance is a domain of the software, the subject area to which the user applies a program. Software's developers build a domain model: a system of abstractions that describes selected aspects of a domain and can be used to solve problems related to that domain.
These aspects of domain-driven design aim to foster a common language shared by domain experts, users, and developers—the ubiquitous language. The ubiquitous language is used in the domain model and for describing system requirements.
Domain-driven design
Domain-driven design (DDD) is a major software design approach, focusing on modeling software to match a domain according to input from that domain's experts. DDD is against the idea of having a single unified model; instead it divides a large system into bounded contexts, each of which have their own model.
Under domain-driven design, the structure and language of software code (class names, class methods, class variables) should match the business domain. For example: if software processes loan applications, it might have classes like "loan application", "customers", and methods such as "accept offer" and "withdraw".
Domain-driven design is predicated on the following goals:
Critics of domain-driven design argue that developers must typically implement a great deal of isolation and encapsulation to maintain the model as a pure and helpful construct. While domain-driven design provides benefits such as maintainability, Microsoft recommends it only for complex domains where the model provides clear benefits in formulating a common understanding of the domain.
The term was coined by Eric Evans in his book of the same name published in 2003.
Domain-driven design articulates a number of high-level concepts and practices.
Of primary importance is a domain of the software, the subject area to which the user applies a program. Software's developers build a domain model: a system of abstractions that describes selected aspects of a domain and can be used to solve problems related to that domain.
These aspects of domain-driven design aim to foster a common language shared by domain experts, users, and developers—the ubiquitous language. The ubiquitous language is used in the domain model and for describing system requirements.
