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Static Deadlock Detection in Low-Level C Code

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Computer Aided Systems Theory – EUROCAST 2022 (EUROCAST 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13789))

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Abstract

We present a novel scalable deadlock analyser L2D2 capable of handling C code with low-level unstructured lock manipulation. L2D2 runs along the call tree of a program, starting from its leaves, and analyses each function just once, without any knowledge of the call context. L2D2 builds function summaries recording information about locks that are assumed or known to be locked or unlocked at the entry, inside, and at the exit of functions, together with lock dependencies, and reports warnings about possible deadlocks when cycles in the lock dependencies are detected. We implemented L2D2 as a plugin of the Facebook/Meta Infer framework and report results of experiments on a large body of C as well as C++ code illustrating the effectiveness and efficiency of L2D2 .

The work was supported by the project 20-07487S of the Czech Science Foundation and the Brno Ph.D. Talent Scholarship Programme.

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Notes

  1. 1.

    https://github.com/svobodovaLucie/infer.

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Correspondence to Dominik Harmim .

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Harmim, D., Marcin, V., Svobodová, L., Vojnar, T. (2022). Static Deadlock Detection in Low-Level C Code. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham. https://doi.org/10.1007/978-3-031-25312-6_31

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  • DOI: https://doi.org/10.1007/978-3-031-25312-6_31

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