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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.
Behavior-driven development (BDD) involves naming software tests using domain language to describe the behavior of the code. BDD involves use of a domain-specific language (DSL) using natural-language constructs (e.g., English-like sentences) that can express the behavior and the expected outcomes.
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.
Sample domain model for a health insurance plan. In software engineering, a domain model is a conceptual model of the domain that incorporates both behavior and data. [1] [2] In ontology engineering, a domain model is a formal representation of a knowledge domain with concepts, roles, datatypes, individuals, and rules, typically grounded in a description logic.
Data mesh is a sociotechnical approach to building a decentralized data architecture by leveraging a domain-oriented, self-serve design (in a software development perspective), and borrows Eric Evans’ theory of domain-driven design [1] and Manuel Pais’ and Matthew Skelton’s theory of team topologies. [2]
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]
Domain analysis is used to define the domain, collect information about the domain, and produce a domain model. [11] Through the use of feature models (initially conceived as part of the feature-oriented domain analysis method), domain analysis aims to identify the common points in a domain and the varying points in the domain. [ 12 ]
Domain-specific languages can usually cover a range of abstraction levels for a particular domain. For example, a domain-specific modeling language for mobile phones could allow users to specify high-level abstractions for the user interface, as well as lower-level abstractions for storing data such as phone numbers or settings. Likewise, a ...