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A Pragmatic Approach to Stateful Partial Order Reduction

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Verification, Model Checking, and Abstract Interpretation (VMCAI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13881))

Abstract

Partial order reduction (POR) is a classic technique for dealing with the state explosion problem in model checking of concurrent programs. Theoretical optimality, i.e., avoiding enumerating equivalent interleavings, does not necessarily guarantee optimal overall performance of the model checking algorithm. The computational overhead required to guarantee optimality may by far cancel out any benefits that an algorithm may have from exploring a smaller state space of interleavings. With a focus on overall performance, we propose new algorithms for stateful POR based on the recently proposed source sets, which are less precise but more efficient than the state of the art in practice. We evaluate efficiency using an implementation that extends Java Pathfinder in the context of verifying concurrent data structures.

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Notes

  1. 1.

    JPF uses hashing for state matching which is theoretically imperfect and can lead to incomplete results on rare occasions.

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Author information

Authors and Affiliations

  1. IRIF, Université Paris Cité, Paris, France

    Berk Cirisci

  2. LIX, Ecole Polytechnique, CNRS and Institut Polytechnique de Paris, Palaiseau, France

    Constantin Enea

  3. University of Toronto, Toronto, Canada

    Azadeh Farzan

  4. Sabanci University, Tuzla, Turkey

    Suha Orhun Mutluergil

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  1. Berk Cirisci
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  2. Constantin Enea
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  3. Azadeh Farzan
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  4. Suha Orhun Mutluergil
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Correspondence to Berk Cirisci .

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  1. Inria, Amazon Web Services, Courbevoie, France

    Cezara Dragoi

  2. Amazon Web Services, Seattle, WA, USA

    Michael Emmi

  3. University of Southern California, Los Angeles, CA, USA

    Jingbo Wang

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Cirisci, B., Enea, C., Farzan, A., Mutluergil, S.O. (2023). A Pragmatic Approach to Stateful Partial Order Reduction. In: Dragoi, C., Emmi, M., Wang, J. (eds) Verification, Model Checking, and Abstract Interpretation. VMCAI 2023. Lecture Notes in Computer Science, vol 13881. Springer, Cham. https://doi.org/10.1007/978-3-031-24950-1_7

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