coupling-analysis

A five-dimensional coupling analysis evaluates system dependencies across operational, development, semantic, functional, and incidental dimensions. It generates a coupling matrix that rates each outbound dependency to uncover hidden integration issues and inform architectural decisions.

You can analyze module boundaries by applying a structured coupling matrix to rate each outbound dependency as Strong, Moderate, or Weak. The framework inspects your project stack and architecture documentation to ground the dependency assessment.

Yes, coupling analysis detects anti-patterns including semantic polymers, long arrows, shared DB coupling, and latent incidental issues. It flags these dependencies during the matrix generation to highlight problematic integrations.

The framework supports Node.js projects by automatically inspecting the package.json file to discover your project stack. This automated context discovery grounds the five-dimensional analysis in your specific technology stack.

The best way is to generate a coupling matrix that rates dependencies across five dimensions and provides concrete, stack-aware strategies. It delivers tailored recommendations with specific trade-offs for each weak or moderate rating.

A coupling matrix may be unnecessary for simple systems with minimal outbound dependencies or isolated slices with no external integrations. It is designed for complex module boundaries and integration points requiring multi-dimensional evaluation.