Impact of Modularization and Coupling on the Complexity of Industrial Control and Automation Systems
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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.
Details
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) |
| Pages | 1-7 |
| Number of pages | 7 |
| ISBN (electronic) | 9781665499965 |
| Publication status | Published - 1 Sept 2022 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85141398553 |
|---|---|
| unpaywall | 10.1109/etfa52439.2022.9921695 |
| ORCID | /0000-0002-4646-4455/work/163764041 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Keywords
- Couplings, Software design, Software architecture, Industrial control, Control systems, Software, Complexity theory, Vertical Coupling, Horizontal Coupling, Cynefin Framework, Automation