International Conference on Verification, Model Checking, and Abstract Interpretation

Verification, Model Checking, and Abstract Interpretation pp 127-146 | Cite as

Program Analysis with Local Policy Iteration

  • Egor George Karpenkov
  • David Monniaux
  • Philipp Wendler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9583)

Abstract

We present local policy iteration (LPI), a new algorithm for deriving numerical invariants that combines the precision of max-policy iteration with the flexibility and scalability of conventional Kleene iterations. It is defined in the Configurable Program Analysis (CPA) framework, thus allowing inter-analysis communication.

LPI uses adjustable-block encoding in order to traverse loop-free program sections, possibly containing branching, without introducing extra abstraction. Our technique operates over any template linear constraint domain, including the interval and octagon domains; templates can also be derived from the program source.

The implementation is evaluated on a set of benchmarks from the International Competition on Software Verification (SV-COMP). It competes favorably with state-of-the-art analyzers.

Notes

Acknowledgments

The authors wish to thank Tim King for proof-reading and extremely valuable feedback, Nikolaj Bjørner for improving \(\nu Z\) performance on our difficult cases, and the anonymous reviewers for their helpful suggestions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Egor George Karpenkov
    • 1
    • 2
  • David Monniaux
    • 1
    • 2
  • Philipp Wendler
    • 3
  1. 1.University Grenoble Alpes, VERIMAGGrenobleFrance
  2. 2.CNRSVERIMAGGrenobleFrance
  3. 3.University of PassauPassauGermany

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