Projects per year
Abstract
Cyber-Physical Production Systems (CPPSs) are large-scale industrial systems in which hardware and software are deeply intertwined. CPPS software has to be highly variable to support frequently changing customer and hardware requirements. Managing the overall variability of such large-scale industrial software is challenging. Knowledge from diverse engineering disciplines, e.g., mechatronics, process, electrical, and control software engineering, is required to support product configuration. These disciplines use diverse artifacts and tools. It is infeasible to have one common variability model or one common configuration user interface representing variability knowledge from diverse disciplines in CPPSs. Therefore, in this paper, we propose the idea of a dynamic product configuration user interface, which decouples the product configuration process from the user interface based on an existing multidisciplinary variability management approach for CPPSs. We describe the next steps toward implementing and evaluating our idea.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS 2023) |
| Subtitle of host publication | 17th International Working Conference on Variability Modelling of Software-Intensive Systems |
| Editors | Myra Cohen, Thomas Thum, Jacopo Mauro |
| Place of Publication | New York, USA |
| Publisher | ACM |
| Pages | 88-90 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798400700019 |
| ISBN (Print) | 979-8-4007-0001-9 |
| DOIs | |
| Publication status | Published - 25 Jan 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Fields of science
- 202017 Embedded systems
- 102022 Software development
- 102025 Distributed systems
- 102029 Practical computer science
- 202003 Automation
- 202041 Computer engineering
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
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Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Researcher), Fadhlillah, H. (Researcher), Gutierrez, A. (Researcher), Kutsia, E. (Researcher), Sharma, S. (Researcher), Sonnleithner, L. (Researcher), Unterdechler, M. (Researcher), Rabiser, R. (PI) & Zoitl, A. (PI)
01.02.2021 → 31.01.2028
Project: Funded research › Other sponsors