systematic-debugging

Root-cause debugging is the practice of identifying and documenting the true cause of bugs, failing tests, or production issues before proposing fixes. Use it to reduce regression risk and prevent recurring software failures.

Follow a mandatory phased workflow from Phase 1 through Phase 4.5. Gather evidence like logs and traces, test hypotheses, and meet explicit go/no-go criteria before applying controlled fixes to resolve the issue.

Yes, systematic debugging is applicable to performance problems and integration failures across software systems. It enforces evidence gathering and reproduction steps to ensure accurate root cause identification before changes.

The best way to prevent premature fixes is to enforce guardrails that require evidence collection, hypothesis testing, and strict go/no-go criteria. This ensures you document the root cause before changing code.

Bug fixes cause regressions when the true root cause is not identified before applying changes. Enforcing a structured debugging workflow with evidence gathering and hypothesis testing reduces this regression risk.