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Integer Polyhedra for Program Analysis

  • Philip J. Charles
  • Jacob M. Howe
  • Andy King
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5564)

Abstract

Polyhedra are widely used in model checking and abstract interpretation. Polyhedral analysis is effective when the relationships between variables are linear, but suffers from imprecision when it is necessary to take into account the integrality of the represented space. Imprecision also arises when non-linear constraints occur. Moreover, in terms of tractability, even a space defined by linear constraints can become unmanageable owing to the excessive number of inequalities. Thus it is useful to identify those inequalities whose omission has least impact on the represented space. This paper shows how these issues can be addressed in a novel way by growing the integer hull of the space and approximating the number of integral points within a bounded polyhedron.

Keywords

Convex Hull Model Check Program Analysis Integer Solution Integer Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Philip J. Charles
    • 1
  • Jacob M. Howe
    • 2
  • Andy King
    • 1
    • 3
  1. 1.University of KentCanterburyUK
  2. 2.City University LondonUK
  3. 3.Portcullis Computer Security LimitedPinnerUK

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