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Riding the Storm in a Probabilistic Model Checking Landscape

  • Christian Hensel
  • , Sebastian Junges (Corresponding author)
  • , Tim Quatmann
  • , Matthias Volk

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

Probabilistic model checking is a formal verification technique to check whether stochastic models satisfy properties of interest. Along with a rich theory, the community has developed mature tool support, which in turn has been applied to a set of industrial case studies. This paper demonstrates various abilities of the probabilistic model checker Storm by a set of simple and more accessible examples.

Original languageEnglish
Title of host publicationPrinciples of Verification: Cycling the Probabilistic Landscape
Subtitle of host publicationEssays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday
EditorsNils Jansen, Sebastian Junges, Benjamin Lucien Kaminski, Christoph Matheja, Thomas Noll, Tim Quatmann, Mariëlle Stoelinga, Matthias Volk
PublisherSpringer
Chapter5
Pages98-114
Number of pages17
Volume2
ISBN (Electronic)978-3-031-75775-4
ISBN (Print)978-3-031-75774-7
DOIs
Publication statusPublished - 2025

Publication series

NameLecture Notes in Computer Science
Volume15261 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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