2022 Volume 39 Issue 2 Pages 2_101-2_123
Many tools have been developed for fuzz testing that generates and executes test cases repeatedly. However, many studies use different fuzzing targets and evaluation criteria. This makes it difficult to compare the performance of the existing tools for fuzz testing fairly. Therefore, we prepared a unified collection of fuzzing targets and then compared 4 fuzzers with the benchmark. In comparison, we compared the fuzzers based on the number of execution paths and branch coverage. The result shows that the number of execution paths is significantly different between the fuzzers. On the other hand, the statistical difference is not confirmed between the branch converges of the fuzzers.
