License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2020.57
URN: urn:nbn:de:0030-drops-132983
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/13298/
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Tulsyan, Rishi ; Pai, Rekha ; D'Souza, Deepak

Static Race Detection for RTOS Applications

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LIPIcs-FSTTCS-2020-57.pdf (0.6 MB)

Abstract

We present a static analysis technique for detecting data races in Real-Time Operating System (RTOS) applications. These applications are often employed in safety-critical tasks and the presence of races may lead to erroneous behaviour with serious consequences. Analyzing these applications is challenging due to the variety of non-standard synchronization mechanisms they use. We propose a technique based on the notion of an "occurs-in-between" relation between statements. This notion enables us to capture the interplay of various synchronization mechanisms. We use a pre-analysis and a small set of not-occurs-in-between patterns to detect whether two statements may race with each other. Our experimental evaluation shows that the technique is efficient and effective in identifying races with high precision.

BibTeX - Entry

@InProceedings{tulsyan_et_al:LIPIcs:2020:13298,
  author =	{Rishi Tulsyan and Rekha Pai and Deepak D'Souza},
  title =	{{Static Race Detection for RTOS Applications}},
  booktitle =	{40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)},
  pages =	{57:1--57:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-174-0},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{182},
  editor =	{Nitin Saxena and Sunil Simon},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13298},
  URN =		{urn:nbn:de:0030-drops-132983},
  doi =		{10.4230/LIPIcs.FSTTCS.2020.57},
  annote =	{Keywords: Static analysis, concurrency, data-race detection, RTOS}
}

Keywords: Static analysis, concurrency, data-race detection, RTOS
Collection: 40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)
Issue Date: 2020
Date of publication: 04.12.2020
Supplementary Material: https://bitbucket.org/rishi2289/static_race_detect/

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