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Code coverage is a key metric in software testing that measures how much of your codebase is executed by your test suite. It helps teams identify untested parts of the application, ensuring that critical logic is verified and reducing the risk of undetected bugs. While achieving 100% coverage is not always practical or necessary, maintaining a high level of coverage can improve confidence in the stability and reliability of your software.

Different types of code coverage, such as statement coverage, branch coverage, and function coverage, provide insights into various aspects of your application’s execution. For instance, branch coverage ensures that all conditional paths are tested, while statement coverage checks whether each line of code has been executed. Advanced platforms, including some open source and AI-driven tools, can assist teams by generating tests automatically to maximize coverage, reducing manual effort and improving efficiency. Platforms like Keploy, for example, allow teams to capture real application traffic to generate comprehensive tests, helping maintain robust code coverage without extensive manual scripting.

By monitoring and analyzing code coverage, teams can prioritize testing efforts, improve software quality, and make informed decisions about which areas of the code require additional testing or refactoring.