Abstract
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. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Jegourel, C., Legay, A., & Sedwards, S. (2012). A platform for high performance statistical model checking - PLASMA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7214 LNCS, pp. 498–503). Springer Verlag. https://doi.org/10.1007/978-3-642-28756-5_37
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