COSMOS: A Statistical Model Checker for the Hybrid Automata Stochastic Logic

Authors:
Paolo Ballarini;Hilal Djafri;Marie Duflot;Serge Haddad;Nihal Pekergin
Affiliations:
-;-;-;-;-
Venue:
QEST '11 Proceedings of the 2011 Eighth International Conference on Quantitative Evaluation of SysTems
Year:
2011

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Abstract

This tool paper introduces \cosmos, a statistical model checker for the Hybrid Automata Stochastic Logic (HASL). HASL employs Linear Hybrid Automata (LHA), a generalization of Deterministic Timed Automata (DTA), to describe relevant execution paths of a Discrete Event Stochastic Process (DESP), a class of stochastic models which includes, but is not limited to, Markov chains. As a result HASL verification turns out to be a unifying framework where sophisticated temporal reasoning is naturally blended with elaborate reward-based analysis. COSMOS takes as input a DESP (described in terms of a Generalized Stochastic Petri Net), an LHA and an expression $Z$ representing the quantity to be estimated. It returns a confidence interval estimation of $Z$. COSMOS is written in C++ and is freely available to the research community.