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Automatic Inference of Frame Axioms Using Static Analysis

Zvonimir Rakamaric, Alan J. Hu

Abstract

Many approaches to software verification are currently semi-automatic: a human must provide key logical insights - e.g., loop invariants, class invariants, and frame axioms that limit the scope of changes that must be analyzed. This paper describes a technique for automatically inferring frame axioms of procedures and loops using static analysis. The technique builds on a pointer analysis that generates limited information about all data structures in the heap. Our technique uses that information to over-approximate a potentially unbounded set of memory locations modified by each procedure/loop; this over- approximation is a candidate frame axiom. We have tested this approach on the buffer-overflow benchmarks from ASE 2007. With manually provided specifications and invariants/axioms, our tool could verify/falsify 226 of the 289 benchmarks. With our automatically inferred frame axioms, the tool could verify/falsify 203 of the 289, demonstrating the effectiveness of our approach.

BibTeX
@inproceedings{Rakamaric-Hu:ASE08,
  author    = {Zvonimir Rakamaric and
               Alan J. Hu},
  title     = {Automatic Inference of Frame Axioms Using Static Analysis},
  booktitle = {ASE},
  pages     = {89--98},
  publisher = {{IEEE} Computer Society},
  year      = {2008},
}

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