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Intro

The domain modeling section provides a detailed view of the Bartendie system through different modeling techniques. These models help visualize the structure, relationships, and interactions within the system.

Domain modeling is the process of creating a conceptual model of a system that captures the key entities, their attributes, behaviors, and relationships. It helps in understanding the problem domain and serves as a foundation for the software architecture.

In this section, you’ll find several complementary modeling approaches:

  • Domain Model: Class diagrams showing the structural aspects of the system including entities, value objects, and their relationships
  • Context Map: Shows the bounded contexts of the system and their relationships
  • Event Storming: Visualizes the system through events, commands, aggregates, and policies
  • Command Flow: Details how commands flow through the system triggering events and updating aggregates
  • Business Rules: Documents the business rules, invariants, and constraints that govern the domain
  • Error Handling: Outlines error handling patterns and domain-specific error types
  • Domain Model Audit: Comprehensive comparison of documented domain model with actual implementation

These models provide several benefits:

  1. Shared Understanding: Creates a common language and understanding among stakeholders
  2. Design Communication: Communicates design decisions and system structure
  3. Complexity Management: Breaks down a complex system into understandable components
  4. Discovery Tool: Helps discover missing requirements and inconsistencies
  5. Implementation Guide: Provides guidance for implementing the system
  • Use the Domain Model to understand the static structure of the system
  • Refer to the Context Map to understand system boundaries and interactions
  • Explore the Event Storming diagram to understand the dynamic behavior
  • Check the Command Flow to see how user actions flow through the system
  • Review Business Rules to understand constraints and validation requirements
  • Consult Error Handling patterns when implementing failure scenarios