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Finkbeiner, B. ; Wies, T. (Ed.)Stochastic model checking (SMC) is a formal verification technique for the analysis of systems with probabilistic behavior. Scalability has been a major limiting factor for SMC tools to analyze real-world systems with large or infinite state spaces. The infinite-state Continuous-time Markov Chain (CTMC) model checker, STAMINA, tackles this problem by selectively exploring only a portion of a model’s state space, where a majority of the probability mass resides, to efficiently give an accurate probability bound to properties under verification. In this paper, we present two major improvements to STAMINA, namely, a method of calculating and distributing estimated state reachability probabilitiesmore »Free, publicly-accessible full text available June 14, 2023
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Free, publicly-accessible full text available September 1, 2022
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Free, publicly-accessible full text available September 1, 2022
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Free, publicly-accessible full text available August 1, 2022
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Free, publicly-accessible full text available August 1, 2022