The Probabilistic Model Checker Storm (Extended Abstract)

Goals. Probabilistic model checking has matured immensely in the past decade [1,2,3,4]. Applications and uses go far beyond the standard algorithms and objectives. We therefore developed an extensible toolbox for probabilistic model checking that offers reusable modules to quickly implement new functionality. The rise of more and more specialized tools witnesses that a single tool is rarely suitable for the broad range of applications and models. Consequently, we offer a range of engines that make use of various backend solvers. This core is aiming for high performance and low memory requirements. On top of it we realized sophisticated techniques ranging from generation of probabilistic counterexamples [5], over permissive scheduler generation [6] and parameter synthesis [7,8] to the analysis of dynamic fault trees [9] and probabilistic program verification [10]. Finally, the wide range of input languages supports the development of new techniques in a variety of fields.