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

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

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.
Original languageEnglish
Title of host publicationFirst International Workshop on Model Management (MoM), Proceedings of the 27th International Conference on Model Driven Engineering Languages and Systems
Place of PublicationNew York, NY, United States
PublisherACM
Pages945-949
Number of pages5
ISBN (Electronic)9798400706226
ISBN (Print)979-8-4007-0622-6
DOIs
Publication statusPublished - 31 Oct 2024

Publication series

NameProceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Fields of science

  • 102022 Software development
  • 102025 Distributed systems
  • 102029 Practical computer science

JKU Focus areas

  • Digital Transformation

Cite this