Model Checking Meets Performance Evaluation

Model Checking Meets Performance Evaluation

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by Christel Baier , Boudewijn R. Haverkort , Holger Hermanns , Joost-pieter Katoen

Citations:

4 - 0 self

BibTeX

@MISC{Baier_modelchecking,
    author = {Christel Baier and Boudewijn R. Haverkort and Holger Hermanns and Joost-pieter Katoen},
    title = {Model Checking Meets Performance Evaluation},
    year = {}
}

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Abstract

Markov chains are one of the most popular models for the evaluation of performance and dependability of information processing systems. To obtain performance measures, typically long-run or transient state probabilities of Markov chains are determined. Sometimes the Markov chain at hand is equipped with rewards and computations involve determining long-run or instantaneous reward probabilities.

Citations

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1	Efficient computation of maximal timed reachability probabilities in uniform continuous-time Markov decision processes - Baier, Haverkort, et al. - 2004