Projects per year
Abstract
When designing cyber-physical systems, especially in industrial automation, model-driven engineering plays an essential role in ensuring software maintainability and supporting evolution. Whereas textual programming environments provide mature tool support for refactoring and maintenance, equivalent capabilities in many industrial visual languages, such as IEC 61499 and Simulink, remain underdeveloped. This research addresses the challenges of maintaining and refactoring models in typed block-based modeling languages, such as IEC 61499 and Simulink, which are frequently used in industry. We propose a methodology that embeds repair mechanisms directly into refactoring processes, ensuring model consistency and minimizing manual intervention. By introducing a meta-model-based approach, we identify common maintenance operations and systematically define transformations that preserve the execution semantics while improving maintainability. Our approach is evaluated through a cross-language implementation, demonstrating its applicability across different modeling tools and industrial settings. We developed the concepts and assistance tools in close collaboration with our industry partner to enable software maintenance of large-scale automation software. The lessons learned are generalizable for various tool developers and contribute to error-resilient model evolution in visual modeling environments.
| Original language | English |
|---|---|
| Title of host publication | 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems (MODELS) |
| Place of Publication | Los Alamitos, CA, USA |
| Publisher | IEEE Computer Society 2012 |
| Pages | 96-106 |
| Number of pages | 11 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 01 Oct 2025 |
Fields of science
- 202003 Automation
- 102022 Software development
- 202017 Embedded systems
- 202041 Computer engineering
- 102029 Practical computer science
- 102025 Distributed systems
- 102 Computer Sciences
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 › CDG - Christian Doppler Forschungsgesellschaft