A Markov reward model checker 论文

摘要

This short tool paper introduces MRMC, a model checker for discrete-time and continuous-time Markov reward models. It supports reward extensions of PCTL and CSL, and allows for the automated verification of properties concerning long-run and instantaneous rewards as well as cumulative rewards. In particular it supports to check the reachability of a set of goal states (by only visiting legal states before) under a time and an accumulated reward constraint. Several numerical algorithms and extensions thereof are included in MRMC.