JONÁŠ, Martin, Jan STREJČEK, Marek TRTÍK and Lukáš URBAN. Fizzer: New Gray-Box Fuzzer. Online. In Dirk Beyer and Ana Cavalcanti. Fundamental Approaches to Software Engineering - 27th International Conference, FASE 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings. Cham (Švýcarsko): Springer, 2024, p. 309-313. ISBN 978-3-031-57258-6. Available from: https://dx.doi.org/10.1007/978-3-031-57259-3_17.
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Basic information
Original name Fizzer: New Gray-Box Fuzzer
Authors JONÁŠ, Martin (203 Czech Republic, belonging to the institution), Jan STREJČEK (203 Czech Republic, guarantor, belonging to the institution), Marek TRTÍK (203 Czech Republic, belonging to the institution) and Lukáš URBAN (703 Slovakia, belonging to the institution).
Edition Cham (Švýcarsko), Fundamental Approaches to Software Engineering - 27th International Conference, FASE 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings, p. 309-313, 5 pp. 2024.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
Organization unit Faculty of Informatics
ISBN 978-3-031-57258-6
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-031-57259-3_17
Keywords in English fuzzing; test generation; atomic Boolean expression; Fizzer
Tags formela-conference, formela-ver, fuzzing, program analysis, test generation
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Jan Strejček, Ph.D., učo 3366. Changed: 24/4/2024 13:49.
Abstract
Fizzer is a new gray-box fuzzer. In contrast to common gray-box fuzzers that aim to cover both true and false branches of branching instructions, Fizzer primarily aims to cover both possible values true and false of Boolean expressions in the program. When a generated test evaluates a so-called atomic Boolean expression to one of these values, our fuzzer computes the distance to the other value, detects bytes that influence this distance, and applies gradient descent on these bytes to flip the value. In Test-Comp 2024, Fizzer placed third in the category Cover-Branches after FuSeBMC and FuSeBMC-AI.
Links
GA23-06506S, research and development projectName: Pokročilá analýza a verifikace pro pokročilý software
Investor: Czech Science Foundation, Advanced Analysis and Verification for Advanced Software
MUNI/A/1608/2023, interní kód MUName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 24
Investor: Masaryk University
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