Probabilistic modelling and verification using RoboChart and PRISM

Ye, Kangfeng, Cavalcanti, Ana, Foster, Simon et al. (2 more authors) (2021) Probabilistic modelling and verification using RoboChart and PRISM. Software and Systems Modeling. ISSN 1619-1366



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 , 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
  • Accepted: 20 July 2021
  • Published: 3 October 2021
  • Submitted: 24 November 2020
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: 01 Feb 2023 00:41
Published Version:
Status: Published
Refereed: Yes
Identification Number:
Related URLs:


Filename: Ye2021_Article_ProbabilisticModellingAndVerif.pdf

Description: Ye2021_Article_ProbabilisticModellingAndVerif

Licence: CC-BY 2.5

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