ARCH-COMP22 Category Report: Stochastic Models

Alessandro Abate, Henk Blom, Joanna Delicaris, Sofie Haesaert, Arnd Hartmanns, Birgit van Huijgevoort, Abolfazl Lavaei, Hao Ma, Mathis Niehage, Anne Remke, Oliver Schön, Stefan Schupp, Sadegh Soudjani, Lisa Willemsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

6 Citations (Scopus)
75 Downloads (Pure)

Abstract

This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. It also introduces new benchmarks and their properties within this category and recommends next steps for this category towards next year’s edition of the competition. In comparison with tools on non-probabilistic models, the tools for stochastic models are at the early stages of development that do not allow full competition on a standard set of benchmarks. We report on an initiative to collect a set of minimal benchmarks that all such tools can run, thus facilitating the comparison between efficiency of the implemented techniques. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in Summer 2022.
Original languageEnglish
Title of host publicationProceedings of 9th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH22)
EditorsGoran Frehse, Matthias Althoff, Erwin Schoitsch, Jeremie Guiochet
PublisherEasyChair
Pages113–141
Number of pages29
DOIs
Publication statusPublished - 13 Dec 2022

Publication series

NameEPiC Series in Computing
PublisherEasyChair
Volume90
ISSN (Electronic)2398-7340

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