Atlas

To detect God Classes and circular references, you analyze system dependencies to map module graphs and expose hidden coupling metrics. This process highlights high-coupling zones and structural bottlenecks, forming the foundation for architectural debt remediation and modernization planning.

Writing an architecture decision record with rollback plans requires contrasting current versus desired states while capturing alternatives. You tie rollout and rollback plans directly to measurable architecture health metrics and evidence-backed coupling data to document clear trade-offs.

The best way to quantify technical debt and plan module boundary splits is by mapping dependency graphs to assign priorities to debt items. You outline specific boundary separations that inform iterative refactorings and reduce forbidden layer violations.

Yes, you can use dependency analysis for architecture health reviews in highly coupled systems. It maps module dependencies to expose hidden architectural debt, detects forbidden layer violations, and provides the evidence-backed metrics needed to prioritize structural improvements.

A limitation of using module dependency graphs to identify architectural debt is that while they expose coupling metrics and circular references, they must be paired with migration planning and ADR documentation to ensure actionable remediation and safe rollbacks.