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How code coverage shapes software quality beyond metrics? - sophielane - 09-22-2025
Code coverage is often used as a simple metric to measure how much of your code is exercised by tests. But relying solely on percentages can be misleading. High coverage doesn’t necessarily mean high-quality tests, and low coverage doesn’t always indicate poor testing.
The real value of code coverage comes when it informs smarter testing strategies. For example, focusing on critical business logic, edge cases, and high-risk modules ensures your tests catch the issues that matter most. It’s also important to differentiate between statement coverage, branch coverage, and path coverage, as each provides different insights into how thoroughly your code is being exercised.
Modern approaches can enhance code coverage without adding manual overhead. Platforms like Keploy, for instance, can automatically generate tests from real traffic, improving coverage in a practical, maintainable way. By integrating real-world usage patterns into testing, developers can ensure that coverage reflects true application behavior rather than just hitting lines of code.