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An Analysis of SAT-Based Model Checking Techniques in an Industrial Environment

  • Nina Amla
  • Xiaoqun Du
  • Andreas Kuehlmann
  • Robert P. Kurshan
  • Kenneth L. McMillan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3725)

Abstract

Model checking is a formal technique for automatically verifying that a finite-state model satisfies a temporal property. In model checking, generally Binary Decision Diagrams (BDDs) are used to efficiently encode the transition relation of the finite-state model. Recently model checking algorithms based on Boolean satisfiability (SAT) procedures have been developed to complement the traditional BDD-based model checking. These algorithms can be broadly classified into three categories: (1) bounded model checking which is useful for finding failures (2) hybrid algorithms that combine SAT and BDD based methods for unbounded model checking, and (3) purely SAT-based unbounded model checking algorithms. The goal of this paper is to provide a uniform and comprehensive basis for evaluating these algorithms. The paper describes eight bounded and unbounded techniques, and analyzes the performance of these algorithms on a large and diverse set of hardware benchmarks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Nina Amla
    • 1
  • Xiaoqun Du
    • 1
  • Andreas Kuehlmann
    • 1
  • Robert P. Kurshan
    • 1
  • Kenneth L. McMillan
    • 1
  1. 1.Cadence Design Systems 

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