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Managing Variability of Cyber-Physical Production Systems: Towards Consistency Management

Fadhlillah, Hafiyyan Sayyid; Greiner, Sandra; Feichtinger, Kevin ORCID iD icon 1; Rabiser, Rick; Zoitl, Alois
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

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.


Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 31.10.2024
Sprache Englisch
Identifikator ISBN: 979-84-00-70622-6
KITopen-ID: 1000175916
Erschienen in Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, September 22-27, 2024, at the JKU Linz.
Veranstaltung 27th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS 2024), Lienz, Österreich, 22.09.2024 – 27.09.2024
Verlag Association for Computing Machinery (ACM)
Seiten 945–949
Projektinformation SFB 1608/1 (DFG, DFG KOORD, SFB 1608)
Vorab online veröffentlicht am 22.09.2024
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