coupling-analysis

To analyze module coupling, you must build a dependency graph and evaluate relationships using strength, distance, and volatility. This process identifies tightly connected modules and produces a prioritized report recommending what to extract or merge to reduce architectural risk.

The three-dimensional coupling model evaluates architectural health by measuring strength, distance, and volatility between modules. This framework quantifies maintainability pressure and helps determine whether modules are too tightly connected or why change ripples across the system.

You assess dependency volatility by analyzing subdomain types and git or code signals. Evaluating volatility alongside strength and distance helps determine integration quality and identifies which dependencies are most likely causing change cascades across your modules.

Yes, you can estimate coupling distance by analyzing the shared encapsulation hierarchy and organizational factors. Combining distance with strength and volatility measurements provides a balance-score based report that highlights prioritized architectural issues for contract hardening.

You should decide to extract or merge modules during software refactoring after generating a balance-score based report. This report prioritizes architectural findings by evaluating coupling strength, distance, and volatility, guiding you on what to decouple to reduce maintainability pressure.

The best way to map dependency direction and knowledge flow is to build a comprehensive module inventory and construct a dependency graph. Interpreting this graph reveals coupling direction and explains how knowledge flows between modules to pinpoint architectural risks.