Hafiyyan Fadhlillah, Sandra Greiner, Kevin Feichtinger, Alois Zoitl, Rick Rabiser,
"RabiserManaging Variability of Cyber-Physical Production Systems: Towards Consistency Management. First International Workshop on Model Management (MoM), Proceedings of the 27th International Conference on Model Driven Engineering Languages and Systems, ACM, 2024."
: First International Workshop on Model Management (MoM), Proceedings of the 27th International Conference on Model Driven Engineering Languages and Systems, ACM, New York, NY, United States, Seite(n) 945-949, 10-2024, ISBN: 979-8-4007-0622-6
Original Titel:
RabiserManaging Variability of Cyber-Physical Production Systems: Towards Consistency Management. First International Workshop on Model Management (MoM), Proceedings of the 27th International Conference on Model Driven Engineering Languages and Systems, ACM, 2024.
Sprache des Titels:
Englisch
Original Buchtitel:
First International Workshop on Model Management (MoM), Proceedings of the 27th International Conference on Model Driven Engineering Languages and Systems
Original Kurzfassung:
Engineering Cyber-Physical Production Systems (CPPSs) involves several different disciplines, where team members range from mechanical, electrical, and automation engineers, to control software engineers. When developing variability-intensive software systems such as CPPSs, engineers create heterogeneous engineering artifacts of varying granularity, structure, and level of abstraction in the problem and solution space, e.g., CAD drawings, delta models, and control software artifacts. Managing consistency among these heterogeneous artifacts is essential during the development and maintenance of these systems to reduce development costs and runtime failures. Software product line engineering provides approaches to manage the variability of heterogeneous artifacts. However, these approaches must be adapted and extended to manage consistency in CPPSs and address the additional multidimensional challenges in CPPSs. In this short paper, we outline these challenges, motivate them using a case study, and discuss potential solutions to manage the consistency of engineering artifacts expressing CPPS control software variability. We thereby lay the grounds for a deeper understanding of possible inconsistencies and exploring new methods for managing consistency in control software variability in CPPSs.
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