SBFT Tool Competition 2023 -- Fuzzing Track
| Autor: | Liu, Dongge, Metzman, Jonathan, Böhme, Marcel, Chang, Oliver, Arya, Abhishek |
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| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | This report outlines the objectives, methodology, challenges, and results of the first Fuzzing Competition held at SBFT 2023. The competition utilized FuzzBench to assess the code-coverage performance and bug-finding efficacy of eight participating fuzzers over 23 hours. The competition was organized in three phases. In the first phase, participants were asked to integrate their fuzzers into FuzzBench and allowed them to privately run local experiments against the publicly available benchmarks. In the second phase, we publicly ran all submitted fuzzers on the publicly available benchmarks and allowed participants to fix any remaining bugs in their fuzzers. In the third phase, we publicly ran all submitted fuzzers plus three widely-used baseline fuzzers on a hidden set and the publicly available set of benchmark programs to establish the final results. Comment: 4 pages, will be published in SBFT workshop of ICSE'23 |
| Databáze: | arXiv |
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