M.: Incremental runtime verification of probabilistic systems

Abstract. Probabilistic verification techniques have been proposed for runtime analysis of adaptive software systems, with the verification re-sults 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 de-cision processes, developing incremental methods for constructing mod-els 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 per-formance improvements on a range of case studies.