Dissecting American Fuzzy Lop – A FuzzBench Evaluation - RCR Report.
In: ACM Transactions on Software Engineering & Methodology, Jg. 32 (2023-03-01), Heft 2, S. 1-4
Online
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Zugriff:
This report describes the artifacts of the “Dissecting American Fuzzy Lop – A FuzzBench Evaluation” paper. The artifacts are available online at https://github.com/eurecom-s3/dissecting_afl and archived at https://doi. org/10.6084/m9.figshare.21401280. American Fuzzy Lop (AFL) consists of the produced code, the setup to run the experiments in FuzzBench, and the generated reports. We claim the Functional badge as the patches to AFL are easy to enable and the experiments are easy to run thanks to the FuzzBench service, but the evaluations are self-contained and the modifications to AFL are as is. For the purpose of reproducing the experiments, no particular skills are needed as the process is straightforward and described in https://google.github.io/ fuzzbench/getting-started/adding-a-new-fuzzer/#requesting-an-experiment. [ABSTRACT FROM AUTHOR]
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Dissecting American Fuzzy Lop – A FuzzBench Evaluation - RCR Report.
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Autor/in / Beteiligte Person: | FIORALDI, ANDREA ; MANTOVANI, ALESSANDRO ; MAIER, DOMINIK ; BALZAROTTI, DAVIDE |
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Zeitschrift: | ACM Transactions on Software Engineering & Methodology, Jg. 32 (2023-03-01), Heft 2, S. 1-4 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 1049-331X (print) |
DOI: | 10.1145/3580600 |
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