Model checking can tell us whether a system is correct; probabilistic model checking can also tell us whether a system is timely and reliable. Moreover, probabilistic model checkin...
Abstract. We propose a new statistical approach to analyzing stochastic systems against specifications given in a sublogic of continuous stochastic logic (CSL). Unlike past numeri...
There have been significant efforts in providing semantic descriptions for Web services, including the approach as exemplified by OWLS. Part of the semantic description in OWL-S is...
The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions....
Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz...
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...