ln-644-dependency-graph-auditor

Detect circular dependencies by building a dependency graph and applying Depth First Search (DFS) to identify cycles. This analysis highlights rigid, hard-to-maintain code paths that require refactoring to improve overall architecture.

Coupling metrics like Afferent Coupling (Ca), Efferent Coupling (Ce), and Instability (I) assess architectural health by quantifying module dependencies. Calculating these metrics reveals whether components are overly rigid or prone to ripple-effect changes.

Validate architectural boundary rules in a microservices architecture by analyzing the dependency graph against defined constraints. This detects unauthorized dependencies, ensuring the system adheres to patterns and preventing technical debt accumulation.

Calculate Lack of Cohesion in Methods (LCOM) and Coupling Between Objects (CBO) to guide code refactoring. These metrics identify tightly coupled classes and low-cohesion modules, pinpointing specific components that require structural separation.

Dependency analysis uses adaptive architecture detection to infer existing architectural patterns from the codebase structure. It evaluates actual module relationships to validate whether the implementation aligns with the intended design rules.

The best way to visualize relationships between software components is to generate a dependency graph. This maps module interactions, making it easier to spot architectural violations and track coupling metrics across the system.