@inbook{db0ee98f6713403c99efaa1d0c2e0b30,
title = "Modest Models and Tools for Real Stochastic Timed Systems",
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.",
keywords = "This work was part of the MISSION (Models in Space Systems: Integration, Operation, and Networking) project, funded by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under Marie Sk{\l}odowska-Curie Actions grant number 101008233., 2025 OA procedure",
author = "Budde, \{Carlos E.\} and D{\textquoteright}Argenio, \{Pedro R.\} and Fraire, \{Juan A.\} and Arnd Hartmanns and Zhen Zhang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",
year = "2025",
doi = "10.1007/978-3-031-75775-4\_6",
language = "English",
isbn = "978-3-031-75774-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "115--142",
editor = "Nils Jansen and Sebastian Junges and Kaminski, \{Benjamin Lucien\} and Christoph Matheja and Thomas Noll and Tim Quatmann and Mari{\"e}lle Stoelinga and Matthias Volk",
booktitle = "Principles of verification: Cycling the probabilistic landscape",
address = "Germany",
}