| JONÁŠ, Martin, Jan STREJČEK, Marek TRTÍK a 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, s. 309-313. ISBN 978-3-031-57258-6. Dostupné z: https://dx.doi.org/10.1007/978-3-031-57259-3_17. |
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@inproceedings{2396652,
author = {Jonáš, Martin and Strejček, Jan and Trtík, Marek and Urban, Lukáš},
address = {Cham (Švýcarsko)},
booktitle = {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},
doi = {http://dx.doi.org/10.1007/978-3-031-57259-3_17},
editor = {Dirk Beyer and Ana Cavalcanti},
keywords = {fuzzing; test generation; atomic Boolean expression; Fizzer},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham (Švýcarsko)},
isbn = {978-3-031-57258-6},
pages = {309-313},
publisher = {Springer},
title = {Fizzer: New Gray-Box Fuzzer},
url = {https://link.springer.com/chapter/10.1007/978-3-031-57259-3_17},
year = {2024}
}
TY - JOUR
ID - 2396652
AU - Jonáš, Martin - Strejček, Jan - Trtík, Marek - Urban, Lukáš
PY - 2024
TI - Fizzer: New Gray-Box Fuzzer
PB - Springer
CY - Cham (Švýcarsko)
SN - 9783031572586
KW - fuzzing
KW - test generation
KW - atomic Boolean expression
KW - Fizzer
UR - https://link.springer.com/chapter/10.1007/978-3-031-57259-3_17
N2 - 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.
ER -
JONÁŠ, Martin, Jan STREJČEK, Marek TRTÍK a Lukáš URBAN. Fizzer: New Gray-Box Fuzzer. Online. In Dirk Beyer and Ana Cavalcanti. \textit{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, s.~309-313. ISBN~978-3-031-57258-6. Dostupné z: https://dx.doi.org/10.1007/978-3-031-57259-3\_{}17.
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