The probabilistic model checker Storm

Abstract We present the probabilistic model checker Storm . supports analysis of discrete- and continuous-time variants both Markov chains decision processes. has three major distinguishing features. It multiple input languages for models, including Jani Prism modeling languages, dynamic fault trees, generalized stochastic Petri nets, guarded command language. a modular setup in which solvers symbolic engines can easily be exchanged. Its Python API allows rapid prototyping by encapsulating ’s fast scalable algorithms. This paper reports on main features explains how to effectively use them. A description is provided functionalities Finally, an empirical evaluation different configurations QComp 2019 benchmark set presented.