Scope Issues Identified
The number of scope-related issues identified by AI Review where a pull request may not fully address linked requirements or acceptance criteria.
Scope Issues Identified is the number of issues detected by AI Review where the code in a pull request may not fully implement the intended requirements or scope.
What this metric shows
This metric highlights potential gaps between the implemented code and the expected behavior defined by linked issues, tickets, or requirements. These gaps may indicate incomplete implementations, missing edge cases, or partial feature coverage.
Why it matters
- Helps ensure that pull requests fully meet requirements before merge.
- Reduces the risk of incomplete features reaching production.
- Improves alignment between development work and product expectations.
Scope-related findings depend on how clearly requirements are defined and linked. Incomplete or missing issue context may increase the number of flagged gaps.
How to use it
Use this metric to identify patterns where pull requests may not fully satisfy requirements. Frequent findings may point to gaps in ticket definition, grooming processes, or development practices. Improving requirement clarity can reduce these issues.
Related metrics
How did we do?
Reviewed PRs
Security Issues Identified
