RacerF: Lightweight Static Data Race Detection for C Code (Experience Paper)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00144400" target="_blank" >RIV/00216224:14330/25:00144400 - isvavai.cz</a>
Result on the web
<a href="https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2025.37" target="_blank" >https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2025.37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4230/LIPIcs.ECOOP.2025.37" target="_blank" >10.4230/LIPIcs.ECOOP.2025.37</a>
Alternative languages
Result language
angličtina
Original language name
RacerF: Lightweight Static Data Race Detection for C Code (Experience Paper)
Original language description
We present RacerF, a novel static analyser for thread-modular data race detection. The approach behind RacerF exploits static analysis of sequential program behaviour whose results are generalised for multi-threaded programs using a combination of lightweight under- and over-approximating methods. The tool is implemented as a plugin of the Frama-C platform and can leverage several analysis backends, most notably the Frama-C's abstract interpreter EVA. Although our methods are mostly heuristic without providing formal guarantees, our experimental evaluation shows that even for intricate programs, RacerF can provide very precise results competitive with more heavyweight approaches while being faster than them.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA23-06506S" target="_blank" >GA23-06506S: Advanced Analysis and Verification for Advanced Software</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 39th European Conference on Object-Oriented Programming – ECOOP'25
ISBN
9783959773737
ISSN
1868-8969
e-ISSN
—
Number of pages
19
Pages from-to
1-19
Publisher name
Leibniz International Proceedings in Informatics (LIPIcs)
Place of publication
Schloss Dagstuhl
Event location
Bergen, Norway
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001592262200037