Modest Models and Tools for Real Stochastic Timed Systems

Carlos E. Budde, Pedro R. D’Argenio, Juan A. Fraire, Arnd Hartmanns*, Zhen Zhang

*Corresponding author for this work

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

1 Citation (Scopus)
13 Downloads (Pure)

Abstract

We depend on the safe, reliable, and timely operation of cyber-physical systems ranging from smart grids to avionics components. Many of them involve time-dependent behaviours and are subject to randomness. Modelling languages and verification tools thus need to support these quantitative aspects. This paper gives an introduction to quantitative verification using the Modest modelling language and the Modest Toolset. It highlights three recent case studies with increasing demands on model expressiveness and tool capabilities: A case of power supply noise in a network-on-chip modelled as a Markov chain; a case of message routing in satellite constellations that needs Markov decision processes with distributed information; and a case of optimising an attack on Bitcoin via Markov automata model checking. For each, we explain the particular conceptual and technical challenges in modelling and verification, and point out open problems for future work.

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, Part II
EditorsNils Jansen, Sebastian Junges, Benjamin Lucien Kaminski, Christoph Matheja, Thomas Noll, Tim Quatmann, Mariëlle Stoelinga, Matthias Volk
Place of PublicationCham, Switzerland
PublisherSpringer
Pages115-142
Number of pages28
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
PublisherSpringer
Volume15261
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • This work was part of the MISSION (Models in Space Systems: Integration, Operation, and Networking) project, funded by the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie Actions grant number 101008233.
  • 2025 OA procedure

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