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Validation ensures fixes work, don’t introduce regressions, and prevent recurrence.

Validation process

1. Functional validation

Verify the fix works:
  • Fixes the original problem
  • Behaves as expected
  • Handles edge cases
  • Handles error paths correctly

2. Regression testing

Ensure no new issues:
  • Existing functionality still works
  • Related features still work
  • Performance is acceptable
  • Compatible with other systems

3. Performance validation

Verify performance impact:
  • Response time acceptable
  • Resource usage reasonable
  • Handles expected load
  • Scales appropriately

4. Production validation

Validate in production:
  • Roll out gradually if possible
  • Monitor closely after deployment
  • Have rollback plan ready
  • Define success criteria

Example

Fix: Fixed connection leak in OrderRepository Validation:
  1. Functional: Error handling paths tested, connections released properly
  2. Regression: Existing queries work, no performance degradation
  3. Performance: Handles expected load, resource usage acceptable
  4. Production: Gradual rollout 10% → 50% → 100%, monitoring confirms success

Validation levels

  • Unit — Individual components
  • Integration — Component interactions
  • System — Full system workflows
  • Production — Live production environment

Best practices

  • Test thoroughly before deploying
  • Automate tests where possible
  • Define clear success criteria
  • Monitor closely after deployment
  • Have rollback plan ready

Validation checklist

Pre-deployment

  • Fix implemented correctly
  • Unit tests pass
  • Integration tests pass
  • Code review completed
  • Documentation updated

Deployment

  • Rollback plan ready
  • Monitoring configured
  • Team notified
  • Gradual rollout planned

Post-deployment

  • Production monitoring active
  • No errors observed
  • Performance acceptable
  • User impact positive
  • Validation complete