analyzing-test-effectiveness

Test auditing identifies weak assertions, tautological tests, and coverage gaming by reading production code alongside test cases and categorizing them as RED/YELLOW/GREEN. This skeptical analysis reveals gaps like missing corner cases that traditional coverage metrics miss.

Coverage measures line execution; effectiveness measures whether tests would catch real production bugs. Mutation testing validates this by injecting faults into code and checking if tests catch them. High coverage with weak assertions fails mutation testing.

Tautological tests pass trivially because assertions match implementation rather than requirements. Auditing compares test intent against production logic to spot these, then tags them RED for refactoring alongside legitimate YELLOW and GREEN tests.

Yes. The audit outputs a BD epic with linked tasks for each identified deficiency, then runs SRE refinement on each task to prioritize and structure improvements for production-grade repositories.

Audits surface untested boundary conditions, error paths, concurrency scenarios, and state transitions that coverage reports ignore. Corner-case focus combined with production code review catches assumptions baked into tests that fail in real workloads.

SRE auditing applies production skepticism: it assumes tests can be gamed and verifies assertions against actual code behavior, not just execution. It prioritizes mutation-testing validation and corner-case discovery over percentage coverage.