Introduction The last few years have seen the proliferation of coverage-guided fuzzers: that is, fuzzers able to get information about the internal state of the program being tested and using that information to generate better test cases. One thing you learn is that coverage information might also work the other way around: looking at a meaningful visualization of code coverage will help you build better drivers for your fuzzers. Moreover, you can understand what parts of the program under test need more attention (e.
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