Abstract
Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for many different engineering tasks, especially those involving transitioning from design to implementation. With the huge progress made on Artificial Intelligence (AI) techniques, questions arise for the future of MDE such as how existing MDE techniques and technologies can be improved or how other activities which currently lack dedicated support can also be automated. However, at the same time, it has to be revisited where and how models should be used to keep the engineers in the loop for creating, operating, and maintaining complex systems. To trigger dedicated research on these open points, we discuss the history of automation in MDE and present perspectives on how automation in MDE can be further improved and which obstacles have to be overcome in the medium and long term perspective.
| Original language | English |
|---|---|
| Number of pages | 10 |
| Publication status | Published - May 2024 |
Fields of science
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102016 IT security
- 102020 Medical informatics
- 102022 Software development
- 102027 Web engineering
- 102034 Cyber-physical systems
- 509026 Digitalisation research
- 102040 Quantum computing
- 502032 Quality management
- 502050 Business informatics
- 503015 Subject didactics of technical sciences
JKU Focus areas
- Digital Transformation