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Reporting Races in Dynamic Partial Order Reduction

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NASA Formal Methods (NFM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9058))

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Abstract

Data races are a common type of bug found in multithreaded programs. The dynamic partial order reduction algorithm (DPOR) is an efficient algorithm for exploring a reduced set of interleavings that guarantees all assertion errors and deadlocks to be found. However, while DPOR does in effect explore different outcomes of data races, it was not originally designed to report them. In this paper a method for reporting data races during DPOR is presented. This allows data races to be found even when they do not trigger assertion errors or deadlocks. Additionally, for programs written in C++11 and a large subset of Java, the presented method allows DPOR to warn the user when it can not guarantee completeness due to the program having data races that trigger weak memory model semantics for it.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Aalto University School of Science, Espoo, Finland

    Olli Saarikivi & Keijo Heljanko

Authors
  1. Olli Saarikivi
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  2. Keijo Heljanko
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Corresponding author

Correspondence to Olli Saarikivi .

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Editors and Affiliations

  1. Jet Propulsion Laboratory, Pasadena, California, USA

    Klaus Havelund

  2. Jet Propulsion Laboratory, Pasadena, California, USA

    Gerard Holzmann

  3. Jet Propulsion Laboratory, Pasadena, California, USA

    Rajeev Joshi

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Saarikivi, O., Heljanko, K. (2015). Reporting Races in Dynamic Partial Order Reduction. In: Havelund, K., Holzmann, G., Joshi, R. (eds) NASA Formal Methods. NFM 2015. Lecture Notes in Computer Science(), vol 9058. Springer, Cham. https://doi.org/10.1007/978-3-319-17524-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-17524-9_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17523-2

  • Online ISBN: 978-3-319-17524-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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