qe-coverage-analysis

Risk-weighted test coverage analysis prioritizes untested code by scoring uncovered lines, branches, and functions based on associated risk. This scoring mechanism helps identify critical coverage gaps and directs testing efforts toward the most impactful areas.

Sublinear gap detection is an algorithmic approach for efficient test coverage analysis. It identifies uncovered code regions without scanning the entire dataset linearly, enabling faster validation of schemas and execution of scripts during large-scale coverage evaluations.

You can analyze test coverage gaps by running coverage analysis scripts against your source and test directories. The tool processes nyc and istanbul reports to validate schemas, execute scripts, and pinpoint uncovered lines or functions for branch comparison.

Yes, the test coverage analysis requires python3 and supports c8 coverage data alongside nyc and istanbul. It validates coverage schemas, executes analysis scripts, and evaluates coverage gaps using these framework dependencies.

The best way to automate finding uncovered lines and branches is using risk-weighted gap detection. By executing targeted coverage scripts against your source and test paths, the system automatically identifies and scores untested functions for prioritization.