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Stochastic Semantics and Statistical Model Checking for Networks of Priced Timed Automata

2011/06/20 by Alexandre David, Kim G. Larsen, David, Alexandre +11
Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Petri Nets in System Modeling #Software Engineering (cs.SE) #Software Reliability and Analysis Research

paper · pdf · doi:10.48550/arxiv.1106.3961

openalex publication_date 2011/06/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper offers a natural stochastic semantics of Networks of Priced Timed Automata (NPTA) based on races between components. The semantics provides the basis for satisfaction of probabilistic Weighted CTL properties (PWCTL), conservatively extending the classical satisfaction of timed automata with respect to TCTL. In particular the extension allows for hard real-time properties of timed automata expressible in TCTL to be refined by performance properties, e.g. in terms of probabilistic guarantees of time- and cost-bounded properties. A second contribution of the paper is the application of Statistical Model Checking (SMC) to efficiently estimate the correctness of non-nested PWCTL model checking problems with a desired level of confidence, based on a number of independent runs of the NPTA. In addition to applying classical SMC algorithms, we also offer an extension that allows to efficiently compare performance properties of NPTAs in a parametric setting. The third contribution is an efficient tool implementation of our result and applications to several case studies.

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