Result Details
RacerF: Data Race Detection with Frama-C (Competition Contribution)
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.
data race, data race detection, static analysis, program verification, SV-COMP
@inproceedings{BUT198081,
author="Tomáš {Dacík} and Tomáš {Vojnar}",
title="RacerF: Data Race Detection with Frama-C (Competition Contribution)",
booktitle="Proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, part 3",
year="2025",
series="Lecture Notes in Computer Science",
volume="15698",
pages="248--253",
publisher="Springer Nature Switzerland AG",
address="Hamilton",
doi="10.1007/978-3-031-90660-2\{_}20",
isbn="978-3-031-90659-6",
url="https://link.springer.com/content/pdf/10.1007/978-3-031-90660-2_20.pdf"
}
Reliable, Secure, and Intelligent Computer Systems, BUT, Vnitřní projekty VUT, FIT-S-23-8151, start: 2023-03-01, end: 2026-02-28, running
Verification and Analysis for Safety and Security of Applications in Life, EU, HORIZON EUROPE, SEP-210979090, start: 2024-06-01, end: 2027-05-31, running