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Domain-driven design (DDD) is a major software design approach, [1] focusing on modeling software to match a domain according to input from that domain's experts. [2] 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.
The data design is usually coded up as conventional classes that represent the basic domain structure of the system. These classes are barely smart data, [1] [2] and they explicitly lack the functionality that is peculiar to support of any particular use case. These classes commonly encapsulate the physical storage of the data.
Domain-driven design is the idea that an evolving domain (object) model should be used as a mechanism to help explore requirements rather than vice versa. The fact that a naked object system forces direct correspondence between the user interface and the domain model makes it easier to attempt domain-driven design, and makes the benefits more ...
Domain-specific languages are languages (or often, declared syntaxes or grammars) with very specific goals in design and implementation. A domain-specific language can be one of a visual diagramming language, such as those created by the Generic Eclipse Modeling System , programmatic abstractions, such as the Eclipse Modeling Framework , or ...
A bounded context, a fundamental concept in Domain-Driven Design (DDD), defines a specific area within which a domain model is consistent and valid, ensuring clarity and separation of concerns. [13] In microservices architecture, a bounded context often maps to a microservice, but this relationship can vary depending on the design approach. A ...
Domain engineering as compared to application engineering. The outputs of each phase of domain engineering feed into both subsequent phases of domain engineering as well as corresponding phases in application engineering. Domain engineering, like application engineering, consists of three primary phases: analysis, design, and implementation.
The subsequent design phase refines the analysis model and makes the needed technology and other implementation choices. In object-oriented design the emphasis is on describing the various objects, their data, behavior, and interactions. The design model should have all the details required so that programmers can implement the design in code. [4]
This is a list of approaches, styles, methodologies, and philosophies in software development and engineering. It also contains programming paradigms, software development methodologies, software development processes, and single practices, principles, and laws.