Shape analysis by graph decomposition

  • Authors:
  • R. Manevich;J. Berdine;B. Cook;G. Ramalingam;M. Sagiv

  • Affiliations:
  • Tel Aviv University;Microsoft Research Cambridge;Microsoft Research Cambridge;Microsoft Research India;Tel Aviv University

  • Venue:
  • TACAS'07 Proceedings of the 13th international conference on Tools and algorithms for the construction and analysis of systems
  • Year:
  • 2007

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Abstract

Programs commonly maintain multiple linked data structures. Correlations between multiple data structures may often be nonexistent or irrelevant to verifying that the program satisfies certain safety properties or invariants. In this paper, we show how this independence between different (singly-linked) data structures can be utilized to perform shape analysis and verification more efficiently. We present a new abstraction based on decomposing graphs into sets of subgraphs, and show that, in practice, this new abstraction leads to very little loss of precision, while yielding substantial improvements to efficiency.