Coverage Analysis
Coverage analysis is a software testing technique that measures the extent to which source code is executed during testing, typically expressed as a percentage of code elements (e.g., statements, branches, functions) covered by tests. It helps identify untested parts of a codebase to improve test quality and reduce bugs. Tools like JaCoCo, Istanbul, and coverage.py automate this process by instrumenting code and generating reports.
Developers should use coverage analysis to ensure comprehensive testing, especially in critical applications like financial systems or healthcare software where reliability is paramount. It's essential during test-driven development (TDD) and continuous integration pipelines to maintain code quality and catch regressions early. High coverage percentages (e.g., 80-90%) often indicate robust testing, though it should be balanced with meaningful tests rather than just aiming for numbers.