[FKP+12] Vojtěch Forejt, Marta Kwiatkowska, David Parker, Hongyang Qu and Mateusz Ujma. Incremental Runtime Verification of Probabilistic Systems. In Proc. 3rd International Conference on Runtime Verification (RV'12), volume 7686 of LNCS, pages 314-319, Springer. September 2012. [pdf] [bib] [Proposes incremental methods for runtime probabilistic model checking, implemented in an extension of PRISM.]
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Notes: An extended version of this paper can be found in [FKP+12b]. The original publication is available at link.springer.com.
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Abstract. Probabilistic verification techniques have been proposed for runtime analysis of adaptive software systems, with the verification results being used to steer the system so that it satisfies certain Quality-of-Service requirements. Since systems evolve over time, and verification results are required promptly, efficiency is an essential issue. To address this, we present incremental verification techniques, which exploit the results of previous analyses. We target systems modelled as Markov decision processes, developing incremental methods for constructing models from high-level system descriptions and for numerical solution using policy iteration based on strongly connected components. A prototype implementation, based on the PRISM model checker, demonstrates performance improvements on a range of case studies.