Failed tests, skipped tests, and flaky tests represent different types of execution outcomes in CI/CD pipelines. Proper classification improves debugging efficiency, release confidence, and software quality visibility.
What Is a Failed Test?
A failed test consistently produces an unexpected result and usually indicates a reproducible issue in the application or test logic.
Common Causes of Failed Tests
- Regression defects
- Assertion failures
- Broken functionality
- Unexpected application behavior
- Configuration issues
Characteristics of Failed Tests
- Deterministic behavior
- Consistent reproduction
- Stable failure pattern
- High release risk
What Is a Skipped Test?
Skipped tests are intentionally excluded from execution during a test run.
Common Reasons for Skipped Tests
- Feature temporarily disabled
- Environment unavailable
- Dependency not ready
- Test under maintenance
- Known incompatibility
Risks of Excessive Skipped Tests
- Reduced test coverage
- Hidden quality risks
- False confidence in releases
- Loss of visibility into application stability
What Is a Flaky Test?
Flaky tests alternate between pass and fail without meaningful application changes.
Common Causes of Flaky Tests
- Synchronization issues
- Unstable selectors
- Shared test environments
- Timing dependencies
- Network instability
- Test data contamination
Characteristics of Flaky Tests
- Non-deterministic behavior
- Intermittent failures
- Difficult reproduction
- Reduced CI/CD trust
Why Test Result Classification Matters
Without proper categorization:
- Engineering metrics become unreliable
- Release risk becomes unclear
- Debugging takes longer
- Teams lose confidence in CI pipelines
Recommended Test Result Taxonomy
| Result Type | Description | Recommended Action |
|---|---|---|
| Passed | Expected behavior verified successfully | No action required |
| Failed | Reproducible issue detected | Investigate immediately |
| Skipped | Test intentionally not executed | Review periodically |
| Flaky | Inconsistent execution result | Prioritize stabilization |
Best Practices for Managing Test Outcomes
- Track flaky tests separately from failed tests
- Review skipped tests regularly
- Create standardized CI/CD classifications
- Monitor failure trends over time
- Assign ownership for unstable tests
Frequently Asked Questions
Should flaky tests count as failures?
Flaky tests should be tracked separately because they represent reliability issues rather than confirmed regressions.
Are skipped tests harmful?
Large numbers of skipped tests often indicate hidden quality or coverage risks.
Can a failed test later become flaky?
Yes. Some flaky tests begin as intermittent failures that later reveal unstable dependencies or synchronization issues.