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Analysis Model

The Analysis Model bridges the gap between the real-world domain and the software implementation. It acts as a layer of abstraction, capturing the core concepts and behaviors of the domain without getting bogged down in technological details.

Incorporating the Analysis Model provides a structured approach to understanding and modeling the domain, ensuring that all stakeholders have a common language and a shared understanding of the system being built.

Ubiquitous Language in Action

The Analysis Model is developed collaboratively by domain experts and developers. It is one of the artifacts that make up the ubiquitous language of the domain. The model ensures the business and engineering teams are aligned on the domain's terminology, concepts, and behaviors. The Analysis Model translates this shared understanding into a technical representation using DDD's tactical patterns (like Aggregates, Entities, Value Objects, and Repositories), thereby serving as a blueprint for the system's design and implementation.

Standalone and Technology-Agnostic

The Analysis Model should remain independent of implementation aspects such as specific technologies and infrastructure choices. This focus on capturing the essence of the domain, rather than the details of its implementation, makes the Analysis Model a standalone artifact with several benefits:

  • Flexibility: The technology landscape is constantly evolving. Keeping the Analysis Model independent allows you to adapt the implementation to new technologies or platforms without altering the core domain understanding.
  • Reusability: A well-defined Analysis Model becomes a reusable asset. It can be a foundation for building multiple applications within the same domain, even when using different technical stacks.
  • Clear Communication: The technology-agnostic nature of the model fosters clear communication between stakeholders. Domain experts can focus on discussing business functionalities, while developers can translate those functionalities into code, bridging the gap between business needs and technological implementation without getting lost in technology-specific jargon.

100% Coverage

The Analysis Model should be designed to be testable in isolation from the final software implementation. This enables early and frequent verification of the domain logic captured in the model, ensuring its integrity and correctness before full-scale development begins.

By keeping the Analysis Model independent of underlying technology, it becomes 100% testable using plain old Python objects. This eliminates the need for mocking or performing dependency injection of external systems, allowing for straightforward validation of domain logic through unit testing. This approach not only accelerates development by identifying and addressing issues early but also enhances the maintainability of the codebase by ensuring that domain logic remains separate from infrastructure concerns.