Change Reliability
Change reliability concerns whether modifications to code, configuration, or models introduce unintended analytical failures.
Common Change-Induced Failures
- Pull requests that pass tests but alter results
- Configuration drift across environments
- Unreviewed model edits
- Hidden dependencies and breaking refactors
Why CI and Validation Miss These Failures
Most validation checks focus on syntax, not analytical meaning. As a result, changes that "look safe" often introduce subtle but impactful failures.
How This Relates to Analytical Reliability
Change reliability explains how analytical systems degrade over time as they evolve. It is one of the four domains of analytical reliability.