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International Conference on Logic for Programming Artificial Intelligence and Reasoning

LPAR 2005: Logic for Programming, Artificial Intelligence, and Reasoning pp 2–22Cite as

Zap: Automated Theorem Proving for Software Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3835))

Abstract

Automated theorem provers (ATPs) are a key component that many software verification and program analysis tools rely on. However, the basic interface provided by ATPs (validity/satisfiability checking of formulas) has changed little over the years. We believe that program analysis clients would benefit greatly if ATPs were to provide a richer set of operations. We describe our desiderata for such an interface to an ATP, the logics (theories) that an ATP for program analysis should support, and present how we have incorporated many of these ideas in Zap, an ATP built at Microsoft Research.

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Author information

Authors and Affiliations

  1. Microsoft Research,  

    Thomas Ball, Shuvendu K. Lahiri & Madanlal Musuvathi

Authors
  1. Thomas Ball
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  2. Shuvendu K. Lahiri
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  3. Madanlal Musuvathi
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Editor information

Editors and Affiliations

  1. University of Miami, USA

    Geoff Sutcliffe

  2. University of Manchester, UK

    Andrei Voronkov

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Ball, T., Lahiri, S.K., Musuvathi, M. (2005). Zap: Automated Theorem Proving for Software Analysis. In: Sutcliffe, G., Voronkov, A. (eds) Logic for Programming, Artificial Intelligence, and Reasoning. LPAR 2005. Lecture Notes in Computer Science(), vol 3835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11591191_2

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  • DOI: https://doi.org/10.1007/11591191_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30553-8

  • Online ISBN: 978-3-540-31650-3

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