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...
This paper provides an experimental study of the efficiency of simulation-based model-checking algorithms for continuous-time Markov chains by comparing: MRMC – the only tool t...
We propose a novel type inference algorithm for a dependentlytyped functional language. The novel features of our algorithm are: (i) it can iteratively refine dependent types wit...
—Automated tests are important for Web applications as they grow more complex day by day. Web application testing frameworks have emerged to help satisfy this need. However, used...
David A. Turner, Moonju Park, Jaehwan Kim, Jinseok...
A technique for generating invariant polynomial inequalities of bounded degree is presented using the abstract interpretation framework. It is based on overapproximating basic semi...