• DocumentCode
    8869
  • Title

    Local State Space Analysis Leads to Better Partial Order Reduction

  • Author

    Hao Zheng ; Yingying Zhang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
  • Volume
    33
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    839
  • Lastpage
    852
  • Abstract
    This paper presents an approach to more efficient partial order reduction for explicit model checking of concurrent systems. This approach utilizes a compositional reachability analysis to generate overapproximate local state transition models for all components in a concurrent system where a dependence relation and other useful information can be extracted. The extracted dependence relation, compared to what can be obtained by statically analyzing the system descriptions, is more precise and refined, and therefore leads to more efficient partial order reduction. This approach is demonstrated on a set of concurrent system examples. Significantly higher reduction in state space has been observed in the majority of the examples compared to what can be obtained with SPIN.
  • Keywords
    formal verification; reachability analysis; SPIN; compositional reachability analysis; concurrent systems; dependence relation; explicit model checking; local state space analysis; overapproximate local state transition models; partial order reduction; Analytical models; Computational modeling; Data mining; Integrated circuit modeling; Model checking; Reachability analysis; Silicon; Formal methods; model checking; partial order reduction; state space analysis;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/TCAD.2014.2301671
  • Filename
    6816122