Regression Testing
Ensure new changes don't break existing functionality.
Regression validation ensures new code doesn't break what already works-behavioral consistency across releases, side-effect detection, unintended changes to existing flows.
What this validation covers
Structured capability coverage for teams that need repeatable signal instead of brittle scripts and one-off audits.
Why teams need it
Traditional regression suites grow until they're unmaintainable. They take hours to run, break constantly, and still miss regressions. Teams lose confidence, skip tests, and ship regressions to production.
How Zof approaches it
The Regression Agent uses the System Graph to understand what each change affects, running targeted validation instead of exhaustive suites. It detects behavioral changes, not just failures-catching regressions that would pass traditional tests.
Failure modes it catches
Behavioral changes in unchanged code paths
Side effects from seemingly isolated changes
Performance regressions from refactoring
Edge cases newly broken by changes
Integration behavior changed by internal updates
Error handling subtly altered
Business impact
Ship features without breaking existing functionality
Reduce regression test time from hours to minutes
Catch the regressions that traditional tests miss
Maintain velocity without sacrificing stability
Flexible pricing by maturity
Start with a focused validation program and expand to full enterprise orchestration as your reliability program grows.
See regression testing in your own environment
Map this validation stream into your existing release process, security controls, and engineering workflows before the next change ships.
Explore related testing types
Complementary validation streams that strengthen regression testing across your delivery pipeline.
End-to-End Testing
Validate complete user journeys across your entire system.
Smoke Testing
Rapidly verify critical system functionality after deployments.
Sanity Testing
Quickly validate targeted functionality after changes.
Integration Testing
Verify service boundaries and external system interactions.
Unit Testing
Validate individual components and business logic in isolation.
API Testing
Ensure API contracts, behaviors, and edge cases work correctly.