[HahnHWZ10a] PARAM: A Model Checker for Parametric Markov Models Hahn, E. M.; Hermanns, H.; Wachter, B. and Zhang, L. In Computer Aided Verification, 22nd International Conference (CAV), pages 660-664, Springer, Lecture Notes in Computer Science 6174, 2010.
Downloads: pdf, bibURL: http://dx.doi.org/10.1007/978-3-642-14295-6_56 Abstract. We present PARAM, a model checker for parametric discrete-time Markov chains (PMCs). PARAM can evaluate temporal properties of PMCs and certain extensions of this class. Due to parametricity, evaluation results are polynomials or rational functions. By instantiating the parameters in the result function, one can cheaply obtain results for multiple individual instantiations, based on only a single more expensive analysis. In addition, it is possible to postprocess the result function symbolically using for instance computer algebra packages, to derive optimum parameters or to identify worst cases.