A Platform for High Performance Statistical Model Checking – PLASMA

  • Cyrille Jegourel
  • Axel Legay
  • Sean Sedwards
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7214)


Statistical model checking offers the potential to decide and quantify dynamical properties of models with intractably large state space, opening up the possibility to verify the performance of complex real-world systems. Rare properties and long simulations pose a challenge to this approach, so here we present a fast and compact statistical model checking platform, PLASMA, that incorporates an efficient simulation engine and uses importance sampling to reduce the number and length of simulations when properties are rare. For increased flexibility and efficiency PLASMA compiles both model and property into bytecode that is executed on an in-built memory-efficient virtual machine.


Virtual Machine Importance Sampling Simulation Trace Intermediate Language Statistical 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 2012

Authors and Affiliations

  • Cyrille Jegourel
    • 1
  • Axel Legay
    • 1
  • Sean Sedwards
    • 1
  1. 1.INRIA Rennes – Bretagne AtlantiqueFrance

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