Divide and Compose: SCC Refinement for Language Emptiness

  • Chao Wang
  • Roderick Bloem
  • Gary D. Hachtel
  • Kavita Ravi
  • Fabio Somenzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2154)

Abstract

We propose a refinement approach to symbolic SCC analysis, which performs large parts of the computation on abstracted systems, and on small subsets of the state space. For language-emptiness checking, it quickly discards uninteresting parts of the state space; for the remaining states, it adapts the model checking computation to the strength of the SCCs at hand.

We present a general framework for SCC refinement, which uses a compositional approach to generate and refine overapproximations. We show that our algorithm significantly outperforms the one of Emerson and Lei.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Chao Wang
    • 1
  • Roderick Bloem
    • 1
  • Gary D. Hachtel
    • 1
  • Kavita Ravi
    • 2
  • Fabio Somenzi
    • 1
  1. 1.University of Colorado at BoulderUSA
  2. 2.Cadence Design SystemsUSA

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