Projekte pro Jahr
Abstract
Artificial Intelligence (AI) has become part of everyone's life. It is used by companies to exploit the information they collect to improve the products and/or services they offer and, wanted or unwanted, it is present in almost every device around us. Lately, AI is also starting to impact all aspects of the system and software development lifecycle, from their upfront specification to their design, testing, deployment and maintenance, with the main goal of helping engineers produce systems and software faster and with better quality while being able to handle ever more complex systems. The hope is that AI will help dealing with the increasing complexity of systems and software.
There is no doubt that MDE has been a means to tame until now part of this complexity. However, its adoption by industry still relies on their capacity to manage the underlying methodological changes including among other things the adoption of new tools. To go one step further, we believe there is a clear need for AI-empowered MDE, which will push the limits of "classic" MDE and provide the right techniques to develop the next generation of highly complex model-based system and software systems engineers will have to design tomorrow.
This workshop provides a forum to discuss, study and explore the opportunities and challenges raised by the integration of AI and MDE.
| Originalsprache | Englisch |
|---|---|
| Titel | Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 |
| Seiten | 148-149 |
| Seitenumfang | 2 |
| ISBN (elektronisch) | 9781665424844 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Okt. 2021 |
Wissenschaftszweige
- 202017 Embedded Systems
- 102002 Augmented Reality
- 102006 Computer Supported Cooperative Work (CSCW)
- 102015 Informationssysteme
- 102020 Medizinische Informatik
- 102022 Softwareentwicklung
- 102034 Cyber-Physical Systems
- 201132 Computational Engineering
- 201305 Verkehrstechnik
- 207409 Navigationssysteme
- 502032 Qualitätsmanagement
- 502050 Wirtschaftsinformatik
- 503015 Fachdidaktik Technische Wissenschaften
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Abgeschlossen
-
Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Forscher*in), Gemeinhardt, F. (Forscher*in), Govindasami, H. S. (Forscher*in), Jayaraman, R. (Forscher*in), Mitter, A. (Forscher*in), Sindelar, R. (Forscher*in), Sint, S. (Forscher*in), Taspinar, B. (Forscher*in) & Wimmer, M. (Projektleiter*in)
01.01.2017 → 31.12.2023
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft
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