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PBMC: Symbolic Slicing for the Verification of Concurrent Programs

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Automated Technology for Verification and Analysis (ATVA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9364))

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Abstract

This paper proposes a novel optimization of bounded model checking (BMC) for better run-time efficiency. Specifically, we define projections, an adaptation of dynamic program slices, and instruct the bounded model checker to check projections only. Given state properties over a subset of the program’s variables, we prove the soundness of the proposed optimization.

We propose a symbolic encoding of projections and implement it for a prototype language of concurrent programs. We have developed a tool called PBMC to evaluate the efficiency of the proposed approach. Our evaluation with various concurrent programs justifies the potential of projections to efficient verification.

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Notes

  1. 1.

    Ignoring our assumption about the initial values of the variables.

  2. 2.

    For simplicity we focus on deterministic systems, although our results equally hold for non-deterministic programs.

  3. 3.

    More precisely, the solver will assign a value to \(sel^i\) which does not correspond to any of the instructions.

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Acknowledgment

Research supported by TUD Cased & EC-SPRIDE.

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Authors and Affiliations

  1. Technische Univeristät Darmstadt, Darmstadt, Germany

    Habib Saissi, Péter Bokor & Neeraj Suri

Authors
  1. Habib Saissi
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  2. Péter Bokor
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  3. Neeraj Suri
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Correspondence to Habib Saissi .

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Editors and Affiliations

  1. Universität des Saarlandes, Saarbrücken, Germany

    Bernd Finkbeiner

  2. East China Normal University, Shanghai, China

    Geguang Pu

  3. Chinese Academy of Sciences, Beijing, China

    Lijun Zhang

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Saissi, H., Bokor, P., Suri, N. (2015). PBMC: Symbolic Slicing for the Verification of Concurrent Programs. In: Finkbeiner, B., Pu, G., Zhang, L. (eds) Automated Technology for Verification and Analysis. ATVA 2015. Lecture Notes in Computer Science(), vol 9364. Springer, Cham. https://doi.org/10.1007/978-3-319-24953-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-24953-7_26

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