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arXiv · 2203.09881

An Overview of Modest Models and Tools for Real Stochastic Timed Systems

Arnd Hartmanns
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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. In my invited presentation at MARS 2022, I gave an introduction to quantitative verification using the Modest modelling language and the Modest Toolset, and highlighted 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 uses Markov decision processes with distributed information; and a case of optimising an attack on Bitcoin via Markov automata model checking. This paper summarises the presentation.

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Arnd Hartmanns. 2022-03-18. An Overview of Modest Models and Tools for Real Stochastic Timed Systems. https://doi.org/10.4204/eptcs.355.1

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