Statistical model checking in Uppaal: lets practice

Alexandre David, Kim G. Larsen, Axel Legay, Marius Mikučionis

    Research output: Contribution to conferencePaper

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    Abstract

    Statistical model-checking is a recent technique used for both verification and performance analysis of hybrid systems. It does not suffer from decidability issues or state-space explosion compared to traditional model-checking. Furthermore, it is applicable to more powerful formalisms such as stochastic hybrid automata. Its principle is simple so how simple is it really to make it work in practice? In this extended abstract, we raise a number of practical issue, some of them disconnected from the underlying theory, and show how they are addressed in Up- paal SMC.
    Original languageEnglish
    Number of pages7
    Publication statusPublished - Sept 2013
    Event1st Workshop on Statistical Model Checking, SMC 2013 - INRIA Rennes, Rennes, France
    Duration: 23 Sept 201323 Sept 2013
    Conference number: 1

    Workshop

    Workshop1st Workshop on Statistical Model Checking, SMC 2013
    Abbreviated titleSMC
    Country/TerritoryFrance
    CityRennes
    Period23/09/1323/09/13

    Keywords

    • EC Grant Agreement nr.: FP7/318003
    • EC Grant Agreement nr.: FP7/2007-2013

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