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 language | English |
|---|---|
| Title of host publication | Principles of Verification: Cycling the Probabilistic Landscape |
| Subtitle of host publication | Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday |
| Editors | Nils Jansen, Sebastian Junges, Benjamin Lucien Kaminski, Christoph Matheja, Thomas Noll, Tim Quatmann, Mariëlle Stoelinga, Matthias Volk |
| Publisher | Springer |
| Chapter | 5 |
| Pages | 98-114 |
| Number of pages | 17 |
| Volume | 2 |
| ISBN (Electronic) | 978-3-031-75775-4 |
| ISBN (Print) | 978-3-031-75774-7 |
| DOIs | |
| Publication status | Published - 2025 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 15261 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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