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Predicate Extension of Symbolic Memory Graphs for the Analysis of Memory Safety Correctness

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Abstract

An approach to the static verification of the program source code for correct memory usage is considered. The method is based on the use of symbolic graphs for representing the program memory. An extension of symbolic memory graphs that makes it possible to use predicates over symbolic values to improve the precision of analysis is proposed. These predicates cut off the unreachable paths thus reducing the number of false positives and detect new bugs due to adding new checks of symbolic values. The method is implemented on the basis of the CPAchecker tool. The practical usefulness demonstrated on drivers of the Linux kernel.

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Notes

  1. https://github.com/mutilin/cpachecker/commit/0f486a996

  2. https://gitlab.com/sosy-lab/software/ldv-benchmarks

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Funding

This work was supported by the Russian Foundation for Basic Research, project no. 18-01-00426.

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Authors and Affiliations

  1. Ivannikov Institute for System Programming, Russian Academy of Sciences, 109004, Moscow, Russia

    A. A. Vasilyev & V. S. Mutilin

Authors
  1. A. A. Vasilyev
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  2. V. S. Mutilin
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Correspondence to A. A. Vasilyev or V. S. Mutilin.

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Translated by A. Klimontovich

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Vasilyev, A.A., Mutilin, V.S. Predicate Extension of Symbolic Memory Graphs for the Analysis of Memory Safety Correctness. Program Comput Soft 46, 747–754 (2020). https://doi.org/10.1134/S0361768820080071

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  • DOI: https://doi.org/10.1134/S0361768820080071