Model-Checking Algorithms for Continuous-Time Markov Chains
IEEE Transactions on Software Engineering
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
Debugging of Dependability Models Using Interactive Visualization of Counterexamples
QEST '08 Proceedings of the 2008 Fifth International Conference on Quantitative Evaluation of Systems
Counterexample Generation in Probabilistic Model Checking
IEEE Transactions on Software Engineering
Significant Diagnostic Counterexamples in Probabilistic Model Checking
HVC '08 Proceedings of the 4th International Haifa Verification Conference on Hardware and Software: Verification and Testing
Generation of Counterexamples for Model Checking of Markov Decision Processes
QEST '09 Proceedings of the 2009 Sixth International Conference on the Quantitative Evaluation of Systems
Safety Analysis of an Airbag System Using Probabilistic FMEA and Probabilistic Counterexamples
QEST '09 Proceedings of the 2009 Sixth International Conference on the Quantitative Evaluation of Systems
IEEE Transactions on Software Engineering
Proceedings of the 2010 ICSE Workshop on Quantitative Stochastic Models in the Verification and Design of Software Systems
K*: A heuristic search algorithm for finding the k shortest paths
Artificial Intelligence
PRISM: a tool for automatic verification of probabilistic systems
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
The COMICS tool: computing minimal counterexamples for DTMCs
ATVA'12 Proceedings of the 10th international conference on Automated Technology for Verification and Analysis
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The computation of counterexamples for probabilistic model checking has been an area of active research over the past years. In spite of the achieved theoretical results in this field, there is no freely available tool that allows for the computation and representation of probabilistic counterexamples. We present an open source tool called DiPro that can be used with the PRISM and MRMC probabilistic model checkers. It allows for the computation of probabilistic counterexamples for discrete time Markov chains (DTMCs), continuous time Markov chains (CTMCs) and Markov decision processes (MDPs). The computed counterexamples can be rendered graphically.