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2016 | OriginalPaper | Chapter

Parameter Synthesis for Parametric Interval Markov Chains

Authors : Benoît Delahaye, Didier Lime, Laure Petrucci

Published in: Verification, Model Checking, and Abstract Interpretation

Publisher: Springer Berlin Heidelberg

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Abstract

Interval Markov Chains (IMCs) are the base of a classic probabilistic specification theory introduced by Larsen and Jonsson in 1991. They are also a popular abstraction for probabilistic systems. In this paper we study parameter synthesis for a parametric extension of Interval Markov Chains in which the endpoints of intervals may be replaced with parameters. In particular, we propose constructions for the synthesis of all parameter values ensuring several properties such as consistency and consistent reachability in both the existential and universal settings with respect to implementations. We also discuss how our constructions can be modified in order to synthesise all parameter values ensuring other typical properties.

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Metadata
Title
Parameter Synthesis for Parametric Interval Markov Chains
Authors
Benoît Delahaye
Didier Lime
Laure Petrucci
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-49122-5_18

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