Publication Details

RacerF: Data Race Detection with Frama-C (Competition Contribution)

DACÍK Tomáš and VOJNAR Tomáš. RacerF: Data Race Detection with Frama-C (Competition Contribution). In: Proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, part 3. Lecture Notes in Computer Science, vol. 15698. Hamilton: Springer Nature Switzerland AG, 2025, pp. 248-253. ISBN 978-3-031-90659-6. Available from: https://link.springer.com/content/pdf/10.1007/978-3-031-90660-2_20.pdf
Czech title
RacerF: Detekce souběhů nad daty s pomocí Frama-C (příspěvek do soutěže)
Type
conference paper
Language
english
Authors
URL
Keywords

data race, data race detection, static analysis, program verification, SV-COMP

Abstract

RacerF is a static analyser for detection of data races in multithreaded C programs implemented as a plugin of the Frama-C platform. The approach behind RacerF is mostly heuristic and relies on analysis of the sequential behaviour of particular threads whose results are generalised using a combination of under- and over-approximating techniques to allow analysis of the multithreading behaviour. In particular, in SV-COMP'25, RacerF relies on the Frama-C's abstract interpreter EVA to perform the analysis of the sequential behaviour. Although RacerF does not provide any formal guarantees, it ranked second in the NoDataRace-Main sub-category, providing the largest number of correct results (when excluding metaverifiers) and just 4 false positives.

Published
2025
Pages
248-253
Proceedings
Proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, part 3
Series
Lecture Notes in Computer Science
Volume
15698
Conference
31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems --- TACAS'25, Hamilton, CA
ISBN
978-3-031-90659-6
Publisher
Springer Nature Switzerland AG
Place
Hamilton, CA
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB13525,
   author = "Tom\'{a}\v{s} Dac\'{i}k and Tom\'{a}\v{s} Vojnar",
   title = "RacerF: Data Race Detection with Frama-C (Competition Contribution)",
   pages = "248--253",
   booktitle = "Proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, part 3",
   series = "Lecture Notes in Computer Science",
   volume = 15698,
   year = 2025,
   location = "Hamilton, CA",
   publisher = "Springer Nature Switzerland AG",
   ISBN = "978-3-031-90659-6",
   doi = "10.1007/978-3-031-90660-2\_20",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13525"
}
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