Analyzing Non-Markovian Systems by Using a Stochastic Process Calculus and a Probabilistic Model Checker

The non-Markovian systems represent almost all stochastic processes, except of a small class having the Markov property; it is real challenge to analyze these systems. In this article, we present general method analyzing novel viewpoint given by use compact process calculus developed in formal framework computer science for describing concurrent Since phase-type distributions can approximate with arbitrary precision, system easily our calculus, which employs distributions. obtained (in calculus) are then translated into probabilistic model checker PRISM; using free software tool, several quantitative properties Markovian approximation initial system.