Larsen, Peter Gorm, Fitzgerald, John, Woodcock, Jim orcid.org/0000-0001-7955-2702 et al. (3 more authors) (2018) Features of integrated model-based co-modelling and co-simulation technology. In: Cerone, Antonio and Roveri, Marco, (eds.) Software Engineering and Formal Methods - SEFM 2017 Collocated Workshops:DataMod, FAACS, MSE, CoSim-CPS, and FOCLASA, Revised Selected Papers. 15th International Conference on Software Engineering and Formal Methods, SEFM 2017, 04-05 Sep 2017 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , ITA , pp. 377-390.
Abstract
Given the considerable ongoing research interest in collaborative multidisciplinary modelling and co-simulation, it is worth considering the features of model-based techniques and tools that deliver benefits to cyber-physical systems developers. The European project “Integrated Tool Chain for Model-based Design of Cyber-Physical Systems” (INTO-CPS) has developed a well-founded tool chain for CPS design, based on the Functional Mock-up Interface standard, and supported by methodological guidance. The focus of the project has been on the delivery of a sound foundation, an open chain of compatible and usable tools, and a set of accessible guidelines that help users adapt the technology to their development needs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Co-simulation,CPS engineering,Foundations,Methodology,Tool chain |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 06 Aug 2019 09:30 |
Last Modified: | 27 Feb 2025 00:09 |
Published Version: | https://doi.org/10.1007/978-3-319-74781-1_26 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Identification Number: | 10.1007/978-3-319-74781-1_26 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149320 |