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Towards Leveraging the Concept of Influence to Enhance Collaborative Cyber-Physical Systems Development

Published: 31 October 2024 Publication History

Abstract

Cyber-Physical Systems development requires the collaboration of various stakeholders from multiple domains. Whilst the functional exchanges between the design artifacts are captured using classical software engineering methods, it is common to have interactions between different domains that go beyond mere functional ones. These may not even be fully understood or known at design-time, making more difficult the rationalization of the design choices and generally speaking the collaboration. Collaborative simulation appears as a solution to observe the emerging behaviors of such systems. However, it does not help identifying the cause of changes in the emerging behaviors, e.g., when different teams made changes concurrently on their artifacts. In this paper, we propose to make explicit how some elements of the design artifacts are known (more or less precisely) to influence the behavior of other design artifacts. We argue this is beneficial for the collaborative development of CPS since it provides an enrichment of the (potentially not fully understood) semantics that exist between different elements of the systems, beyond mere functional ones. Based on our example, the paper presents a first categorization for our notion of influences as well as a discussion about potential usages and their benefits.

References

[1]
Amal Ahmed Anda, Daniel Amyot, and John Mylopoulos. 2023. Traceability Management of Socio-Cyber-Physical Systems Involving Goal and SysML Models. Modelling 4, 2 (2023), 133--167.
[2]
Dassault Systèmes. 2023. Cameo Systems Modeler. https://www.3ds.com/products/catia/no-magic/cameo-systems-modeler. Accessed: 21/06/2024.
[3]
Patricia Derler, Edward A. Lee, and Alberto Sangiovanni Vincentelli. 2012. Modeling Cyber-Physical Systems. Proc. IEEE 100, 1 (2012), 13--28.
[4]
DFRobot. n.d. Cherokey 4WD Mobile Platform. https://wiki.dfrobot.com/Cherokey_4WD_Mobile_Platform__SKU_ROB0102_. Accessed: 01/07/2024.
[5]
Cláudio Gomes, Casper Thule, David Broman, Peter Gorm Larsen, and Hans Vangheluwe. 2018. Co-Simulation: A Survey. Comput. Surveys 51, 3 (May 2018), 49:1--49:33.
[6]
Edward Griffor, Christopher Greer, David Wollman, and Martin Burns. 2017. Framework for Cyber-Physical Systems: Volume 1, Overview.
[7]
Peter Gorm Larsen, John Fitzgerald, Jim Woodcock, Peter Fritzson, Jörg Brauer, Christian Kleijn, Thierry Lecomte, Markus Pfeil, Ole Green, Stylianos Basagiannis, and Andrey Sadovykh. 2016. Integrated tool chain for model-based design of Cyber-Physical Systems: The INTO-CPS project. In 2016 2nd International Workshop on Modelling, Analysis, and Control of Complex CPS (CPS Data). 1--6.
[8]
Salome Maro and Jan-Philipp Steghöfer. 2016. Capra: A Configurable and Extendable Traceability Management Tool. In 2016 IEEE 24th International Requirements Engineering Conference (RE). 407--408.
[9]
Shiva Nejati, Mehrdad Sabetzadeh, Davide Falessi, Lionel Briand, and Thierry Coq. 2012. A SysML-based approach to traceability management and design slicing in support of safety certification: Framework, tool support, and case studies. Information and Software Technology 54, 6 (2012), 569--590.
[10]
prostep ivip Association. 2021. White Paper - SmartSE - Simulation-based Decision Making and Release. https://www.prostep.org/en/medialibrary/translate-to-english-detail?ai%5Baction%5D=detail&ai%5Bcontroller%5D=Catalog&ai%5Bd_name%5D=wp_smartse_sdmr&ai%5Bd_pos%5D=. Accessed: 22/06/2024.
[11]
Shady Salama and Amr B. Eltawil. 2018. A Decision Support System Architecture Based on Simulation Optimization for Cyber-Physical Systems. Procedia Manufacturing 26 (Jan. 2018), 1147--1158.
[12]
Martin Törngren and Ulf Sellgren. 2018. Complexity Challenges in Development of Cyber-Physical Systems. In Principles of Modeling: Essays Dedicated to Edward A. Lee on the Occasion of His 60th Birthday, Marten Lohstroh, Patricia Derler, and Marjan Sirjani (Eds.). Springer International Publishing, Cham, 478--503.
[13]
Itorobong S. Udoh and Gerald Kotonya. 2018. Developing IoT applications: challenges and frameworks. IET Cyber-Physical Systems: Theory & Applications 3, 2 (2018), 65--72. : https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cps.2017.0068.
[14]
Rebekka Wohlrab, Eric Knauss, Jan-Philipp Steghöfer, Salome Maro, Anthony Anjorin, and Patrizio Pelliccione. 2020. Collaborative traceability management: a multiple case study from the perspectives of organization, process, and culture. Requirements Engineering 25, 1 (2020), 21--45.

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      cover image ACM Conferences
      MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
      September 2024
      1261 pages
      ISBN:9798400706226
      DOI:10.1145/3652620
      Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      Published: 31 October 2024

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      1. cyber-physical systems
      2. collaborative system design
      3. collaborative simulation
      4. system behavior

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