Using Test Trends to Predict Release Quality

A single run is a snapshot. Trends are a story—especially for regressions, flakiness, and coverage gaps that emerge over time.

Signals worth tracking

• Week-over-week failure drift by suite and service
• Flaky clusters that spike after infra or dependency changes
• New failures vs. known failures (regression freshness)
• Critical-path stability across release candidates

Build a baseline

Use the last 10–20 runs to establish a baseline. Then flag deviations instead of chasing every single failure.

Decisioning

Combine trends with risk context: what changed, what matters to users, and where failures are concentrated. Trend signals should trigger triage, not block releases blindly.