GSTE Is Partitioned Model Checking

  • Roberto Sebastiani
  • Eli Singerman
  • Stefano Tonetta
  • Moshe Y. Vardi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3114)


Verifying whether an ω-regular property is satisfied by a finite-state system is a core problem in model checking. Standard techniques build an automaton with the complementary language, compute its product with the system, and then check for emptiness. Generalized symbolic trajectory evaluation (GSTE) has been recently proposed as an alternative approach, extending the computationally efficient symbolic trajectory evaluation (STE) to general ω-regular properties. In this paper, we show that the GSTE algorithms are essentially a partitioned version of standard symbolic model-checking (SMC) algorithms, where the partitioning is driven by the property under verification. We export this technique of property-driven partitioning to SMC and show that it typically does speed up SMC algorithms.


Model Check Linear Temporal Logic Label Function Liveness Property Symbolic Model Check 
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 2004

Authors and Affiliations

  • Roberto Sebastiani
    • 1
  • Eli Singerman
    • 2
  • Stefano Tonetta
    • 1
  • Moshe Y. Vardi
    • 3
  1. 1.DITUniversità di Trento 
  2. 2.Intel, Israel Design Center 
  3. 3.Dept. of Computer ScienceRice University 

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