Publications:A framework for performance evaluation and functional verification in stochastic process algebras

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Title A framework for performance evaluation and functional verification in stochastic process algebras
Author Hossein Hojjat and Mohammad Reza Mousavi and Marjan Sirjani
Year 2008
PublicationType Conference Paper
Journal
HostPublication SAC '08 : Proceedings of the 2008 ACM symposium on Applied computing
DOI http://dx.doi.org/10.1145/1363686.1363775
Conference 23rd Annual ACM Symposium on Applied Computing, Fortaleza, BRAZIL, MAR 16-20, 2008
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:584684
Abstract Despite its relatively short history, a wealth of formalisms exist for algebraic specification of stochastic systems. The goal of this paper is to give such formalisms a unifying framework for performance evaluation and functional verification. To this end, we propose an approach enabling a provably sound transformation from some existing stochastic process algebras, e.g., PEPA and MTIPP, to a generic form in the mCRL2 language. This way, we resolve the semantic differences among different stochastic process algebras themselves, on one hand, and between stochastic process algebras and classic ones, such as mCRL2, on the other hand. From the generic form, one can generate a state space and perform various functional and performance-related analyses, as we illustrate in this paper.