Shape analysis with structural invariant checkers

  • Authors:

  • Bor-Yuh Evan Chang;Xavier Rival;George C. Necula

  • Affiliations:

  • University of California, Berkeley, California;University of California, Berkeley, California and École Normale Supérieure, Paris, France;University of California, Berkeley, California

  • Venue:
  • SAS'07 Proceedings of the 14th international conference on Static Analysis
  • Year:
  • 2007

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Abstract

Developer-supplied data structure specifications are important to shape analyses, as they tell the analysis what information should be tracked in order to obtain the desired shape invariants. We observe that data structure checking code (e.g., used in testing or dynamic analysis) provides shape information that can also be used in static analysis. In this paper, we propose a lightweight, automatic shape analysis based on these developer-supplied structural invariant checkers. In particular, we set up a parametric abstract domain, which is instantiated with such checker specifications to summarize memory regions using both notions of complete and partial checker evaluations. The analysis then automatically derives a strategy for canonicalizing or weakening shape invariants