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International Static Analysis Symposium

SAS 2010: Static Analysis pp 71–99Cite as

Statically Inferring Complex Heap, Array, and Numeric Invariants

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6337))

Abstract

We describe Deskcheck, a parametric static analyzer that is able to establish properties of programs that manipulate dynamically allocated memory, arrays, and integers. Deskcheck can verify quantified invariants over mixed abstract domains, e.g., heap and numeric domains. These domains need only minor extensions to work with our domain combination framework.

The technique used for managing the communication between domains is reminiscent of the Nelson-Oppen technique for combining decision procedures, in that the two domains share a common predicate language to exchange shared facts. However, whereas the Nelson-Oppen technique is limited to a common predicate language of shared equalities, the technique described in this paper uses a common predicate language in which shared facts can be quantified predicates expressed in first-order logic with transitive closure.

We explain how we used Deskcheck to establish memory safety of the thttpd web server’s cache data structure, which uses linked lists, a hash table, and reference counting in a single composite data structure. Our work addresses some of the most complex data-structure invariants considered in the shape-analysis literature.

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Author information

Authors and Affiliations

  1. University of California, Berkeley, CA, USA

    Bill McCloskey

  2. University of Wisconsin, Madison, WI, USA

    Thomas Reps

  3. GrammaTech, Inc., Ithaca, NY, USA

    Thomas Reps

  4. Tel-Aviv University, Tel-Aviv, Israel

    Mooly Sagiv

  5. Stanford University, Stanford, CA, USA

    Mooly Sagiv

Authors
  1. Bill McCloskey
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  2. Thomas Reps
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  3. Mooly Sagiv
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Editor information

Editors and Affiliations

  1. Départment d’Informatique, École normale supérieure, rue d’Ulm 45, 75230, Paris cedex, France

    Radhia Cousot

  2. ELIAUS-DALI Laboratory, Université de Perpignan Via Domitia, 52, avenue Paul Alduy, 66860, Perpignan cedex, France

    Matthieu Martel

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McCloskey, B., Reps, T., Sagiv, M. (2010). Statically Inferring Complex Heap, Array, and Numeric Invariants. In: Cousot, R., Martel, M. (eds) Static Analysis. SAS 2010. Lecture Notes in Computer Science, vol 6337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15769-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-15769-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15768-4

  • Online ISBN: 978-3-642-15769-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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