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Software Engineering for Smart Cyber-Physical Systems (SEsCPS 2018) - Workshop Report

Published: 12 December 2019 Publication History

Abstract

Smart Cyber-Physical Systems (sCPS) are a novel kind of Cyber- Physical System engineered to take advantage of large-scale cooperation between devices, users and environment to achieve added value in the face of uncertainty and changing environments. Examples of sCPS include modern traffic systems, Industry 4.0 systems, systems for smart buildings, and smart energy grids. The uniting aspect of all these systems is that to achieve their high level of intelligence, adaptivity and ability to optimize and learn, they rely heavily on software. This makes them software-intensive systems, where software becomes their most complex part. Engineering sCPS thus becomes a recognized software engineering discipline, which, due to specifics of sCPS, can only partially rely on the existing body of knowledge in software engineering. In fact, it turns out that many of the traditional approaches to architecture modeling and software development fall short in their ability to cope with the high dynamicity and uncertainty of sCPS. This calls for innovative approaches that jointly reflect and address the specifics of such systems. This paper maps the discussions and results of the Fourth International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS 2018), which focuses on challenges and promising solutions in the area of software engineering for sCPS.

References

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Cited By

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  • (2023)An exploratory study of software engineering in heavy-duty mobile machine automationRobotics and Autonomous Systems10.1016/j.robot.2023.104424165:COnline publication date: 1-Jul-2023
  • (2021)Six Software Engineering Principles for Smarter Cyber-Physical Systems2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C52956.2021.00058(198-203)Online publication date: Sep-2021
  • (2021)Agent-based cyber-physical system development with SEA_ML++Multi-Paradigm Modelling Approaches for Cyber-Physical Systems10.1016/B978-0-12-819105-7.00013-1(195-219)Online publication date: 2021
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Information

Published In

cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 44, Issue 4
October 2019
47 pages
ISSN:0163-5948
DOI:10.1145/3364452
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2019
Published in SIGSOFT Volume 44, Issue 4

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Author Tags

  1. cyber-physical systems
  2. software engineering

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Cited By

View all
  • (2023)An exploratory study of software engineering in heavy-duty mobile machine automationRobotics and Autonomous Systems10.1016/j.robot.2023.104424165:COnline publication date: 1-Jul-2023
  • (2021)Six Software Engineering Principles for Smarter Cyber-Physical Systems2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)10.1109/ACSOS-C52956.2021.00058(198-203)Online publication date: Sep-2021
  • (2021)Agent-based cyber-physical system development with SEA_ML++Multi-Paradigm Modelling Approaches for Cyber-Physical Systems10.1016/B978-0-12-819105-7.00013-1(195-219)Online publication date: 2021
  • (2020)RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical SystemsIEEE Access10.1109/ACCESS.2020.30128248(141373-141394)Online publication date: 2020
  • (2020)Current perspectives on the software engineering processJournal of Software: Evolution and Process10.1002/smr.231332:11Online publication date: 1-Sep-2020

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