C# & Domain-Driven Design: From Anemic to Rich Models
A comprehensive guide on building enterprise C# applications using DDD base entities, C# Records for Value Objects, and robust Unit Testing strategies.
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- Avoid procedural code disguised as object-oriented design by moving away from pure anemic data bags.
- Leverage Domain-Driven Design (DDD) entity base classes and C# Records for immutable Value Objects.
- Combine interfaces, abstract classes, and EF Core persistence into a publication-ready architecture.
- Ensure robust generic identifier comparisons and reliable state validation through unit testing.
When constructing enterprise-level applications in C#, developers frequently encounter an architectural pitfall where procedural code is masked as object-oriented design. This typically stems from relying entirely on public get and set DTOs for business logic, forcing application services to manually handle every validation rule and state transition.
This comprehensive guide bridges Object-Oriented Programming, the Single Responsibility Principle, DDD entity base classes, C# Records as Value Objects, combined interfaces and abstract classes, EF Core persistence, and rigorous unit testing into a single reference framework.
An anemic model treats classes as passive data structures devoid of behavior. When every model exposes public setters, any part of the codebase can alter state arbitrarily, completely bypassing established business rules.
Stock photo for illustration only, not from the actual event
To handle generic identifiers robustly across various types such as Guid, int, or string, EqualityComparer<TId> is utilized to ensure unpersisted entities do not erroneously evaluate as equal to one another.
Transitioning from an anemic model to a rich domain model is a critical step in enterprise software architecture. Encapsulating business logic directly within domain objects significantly reduces code duplication and improves maintainability in alignment with core Domain-Driven Design principles.
Source: Dev.to
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