Abstract
The field of industrial automation has witnessed a significant increase in software development and maintenance efforts in recent years. This can be attributed to the demand for shorter product life cycles and customized products, leading to increasingly complex applications. As a result, control software engineers are facing new challenges. In this paper, we present our tool for visualizing industrial automation software. It provides engineers with a unique perspective on their large-scale applications. The tool offers several benefits, including convenient tracing of control and information flow across multiple levels of hierarchy, applying metrics to the visualization, and various interaction methods. The tool is tightly integrated into an existing IDE, providing a unique workflow for software analysis and maintenance. We discuss the experiences of engineers of our industry partner, who have been using the tool, and next steps.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 28th IEEE IES International Conference on Emerging Technologies and Factory Automation (ETFA 2023) |
| Place of Publication | New York, NY, United States |
| Publisher | IEEE |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798350339918 |
| ISBN (Print) | 979-8-3503-3991-8 |
| DOIs | |
| Publication status | Published - Oct 2023 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Volume | 2023-September |
| ISSN (Print) | 1946-0740 |
| ISSN (Electronic) | 1946-0759 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
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
-
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
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver