Why code coverage is only one part of the testing quality puzzle?

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  • Why code coverage is only one part of the testing quality puzzle?

    Публикувано от Изтрит потребител на 12/08/2025 в 13:32

    <font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>Code coverage is often used as a benchmark to measure how much of your application’s code is executed during testing. While achieving a high percentage can indicate broader test reach, it’s important to remember that coverage alone doesn’t guarantee quality.</font></font>

    <font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>High coverage can still leave gaps if the tests themselves are superficial or miss critical edge cases. For example, a test might execute a function without validating the output or error handling, giving a false sense of security.</font></font>

    <font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>The real power of code coverage </font></font><font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>comes when it’s paired with robust, meaningful tests. Tools like Keploy help in this area by not just aiming for coverage, but by automatically generating test cases from real API calls and responses. This ensures that the covered code paths are tested with realistic data and scenarios, improving both coverage and depth.</font></font>

    <font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>In short, aim for high coverage, but make sure your tests are valuable enough to truly protect your application from regressions.</font></font>

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