Discussions

When developers and testers talk about software quality, code coverage often takes center stage. It measures how much of the source code is executed during testing — a useful metric, but not a silver bullet. High coverage doesn’t necessarily mean the software is bug-free or meets business requirements. It simply indicates that more lines of code were executed during test runs.

To truly ensure quality, teams must combine code coverage insights with test depth, assertion strength, and meaningful scenario design. For instance, a test may execute a function but fail to validate its output correctly — leading to false confidence in quality. Tools that integrate coverage with intelligent analysis, such as Keploy, help bridge this gap by generating comprehensive test cases and detecting untested paths automatically.

In essence, code coverage should be viewed as a guiding metric — not the ultimate goal. The real objective lies in writing effective, purposeful tests that validate behavior, improve reliability, and foster continuous improvement in your QA process.