Compare the Top Government Code Coverage Tools as of April 2025

What are Government Code Coverage Tools?

Code coverage tools are software utilities designed to analyze the source code of an application and report on the level of code that is tested by automated tests. They usually measure the percentage of lines, blocks, or branches of code that have been executed in a test suite. Many popular programming languages have their own code coverage tools available for developers to use. Compare and read user reviews of the best Government Code Coverage tools currently available using the table below. This list is updated regularly.

  • 1
    Mayhem

    Mayhem

    ForAllSecure

    Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous.
  • 2
    Code Intelligence

    Code Intelligence

    Code Intelligence

    Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.
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