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2018 | OriginalPaper | Buchkapitel

A Model Checker Collection for the Model Checking Contest Using Docker and Machine Learning

verfasst von : Didier Buchs, Stefan Klikovits, Alban Linard, Romain Mencattini, Dimitri Racordon

Erschienen in: Application and Theory of Petri Nets and Concurrency

Verlag: Springer International Publishing

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Abstract

This paper introduces mcc4mcc, the Model Checker Collection for the Model Checking Contest, a tool that wraps multiple model checking solutions, and applies the most appropriate one based on the characteristics of the model it is given. It leverages machine learning algorithms to carry out this selection, based on the results gathered from the 2017 edition of the Model Checking Contest, an annual event in which multiple tools compete to verify different properties on a large variety of models. Our approach brings two important contributions. First, our tool offers the opportunity to further investigate on the relation between model characteristics and verification techniques. Second, it lays out the groundwork for a unified way to distribute model checking software using virtual containers.

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Vorheriges Kapitel LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World

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Titel: A Model Checker Collection for the Model Checking Contest Using Docker and Machine Learning
verfasst von: Didier Buchs
Stefan Klikovits
Alban Linard
Romain Mencattini
Dimitri Racordon
Verlag: Springer International Publishing
Buch: Application and Theory of Petri Nets and Concurrency
Print ISBN: 978-3-319-91267-7

Electronic ISBN: 978-3-319-91268-4

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91268-4_21

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