Probabilistic modelling and verification using RoboChart and PRISM

Ye, Kangfeng, Cavalcanti, Ana orcid.org/0000-0002-0831-1976, Foster, Simon orcid.org/0000-0002-9889-9514 et al. (2 more authors) (2021) Probabilistic modelling and verification using RoboChart and PRISM. Software and Systems Modeling. ISSN 1619-1366

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: Funding Information: This work is funded by the EPSRC grants EP/M025756/1 and EP/R025479/1, and by the Royal Academy of Engineering grant CiET1718/45. The icons used in RoboChart have been made by Sarfraz Shoukat, Freepik, Google, Icomoon and Madebyoliver from www.flaticon.com , and are licensed under CC 3.0 BY. Funding Information: MODEST [, ], a modelling and analysis framework for stochastic hybrid systems, uses a comparatively higher-level language that is inspired by process algebras. It is supported by the MODEST Toolset. PRISM, Storm, and MODEST all support DTMC and MDP models for discrete probabilities. Publisher Copyright: © 2021, The Author(s).
Keywords: Domain-specific language for robotics,Formal semantics,Model transformation,PRISM,Probabilistic model checking,State machines,Software,Modelling and Simulation
Dates:
  • Accepted: 20 July 2021
  • Published: 3 October 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 01 Oct 2021 13:50
Last Modified: 31 Dec 2021 00:40
Published Version: https://doi.org/10.1007/s10270-021-00916-8
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10270-021-00916-8
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