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Principles of model checking
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems.Expand
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Model-Checking Algorithms for Continuous-Time Markov Chains
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristics. Their analysis most often concerns the computation of steady-state andExpand
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Principles of Model Checking (Representation and Mind Series)
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems.Expand
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Approximate Symbolic Model Checking of Continuous-Time Markov Chains
This paper presents a symbolic model checking algorithm for continuous-time Markov chains for an extension of the continuous stochastic logic CSL of Aziz et al [1]. The considered logic contains aExpand
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A Storm is Coming: A Modern Probabilistic Model Checker
We launch the new probabilistic model checker Storm. It features the analysis of discrete- and continuous-time variants of both Markov chains and MDPs. It supports the Prism and JANI modelingExpand
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Discrete-Time Rewards Model-Checked
This paper presents a model-checking approach for analyzing discrete-time Markov reward models. For this purpose, the temporal logic probabilistic CTL is extended with reward constraints. This allowsExpand
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Model Checking Continuous-Time Markov Chains by Transient Analysis
The verification of continuous-time Markov chains (CTMCs) against continuous stochastic logic (CSL) [3,6], a stochastic branching-time temporal logic, is considered. CSL facilitates among others theExpand
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Comparative branching-time semantics for Markov chains
This paper presents various semantics in the branching-time spectrum of discrete-time and continuous-time Markov chains (DTMCs and CTMCs). Strong and weak bisimulation equivalence and simulationExpand
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The Ins and Outs of the Probabilistic Model Checker MRMC
The Markov Reward Model Checker (MRMC) is a software toolfor verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their rewardextensions. DistinguishingExpand
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Efficient computation of time-bounded reachability probabilities in uniform continuous-time Markov decision processes
A continuous-time Markov decision process (CTMDP) is a generalization of a continuous-time Markov chain in which both probabilistic and nondeterministic choices co-exist. This paper presents anExpand
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