Abstract
Coupling could be an arbitrary property to Industrial Automation and Control Systems (ICAS) with a significant impact on complexity. Different software design approaches may result in coupling between software modules that either increase or decrease the overall system complexity. This paper proposes using the Cynefin Framework to guide the software design patterns used during the high-level design of software architecture, with the intent of reducing components coupling and overall system complexity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th International Conference on Emerging Technologies and Factory Automation (ETFA 2022) |
| Place of Publication | New York City, USA |
| Publisher | IEEE |
| Pages | 1-7 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781665499965 |
| ISBN (Print) | 978-1-6654-9996-5 |
| DOIs | |
| Publication status | Published - Oct 2022 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Volume | 2022-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
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver