RERS-Fuzz : Combining Greybox Fuzzing with Interval Analysis for error reachability in reactive softwares
This work addresses error detection in reactive software, which is important for software reliability, but it appears incremental as it combines existing techniques.
The authors tackled the problem of error reachability in reactive software by combining greybox fuzzing with interval analysis, achieving improved results on RERS 2019 benchmarks.
Fuzz Testing is a well-studied area in the field of Software Maintenance and Evolution. In recent years, coverage-based Greybox fuzz testing has gained immense attention by discovering critical security level and show-stopper bugs in industrial grade software. Greybox fuzz-testing uses coverage maximization as objective function and achieve the same by employing feedback-driven evolutionary algorithms. In our work, we have utilized the power of Greybox fuzz testing, combined with interval analysis for solving reachability problem in sequential and industrial RERS (Rigorous Examination of Reactive Software) 2019 benchmarks.