You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.
The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.
For the reports in this repository we specifically note that
- the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
- the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
- technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
- in other cases, please contact the copyright owner for detailed information
By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.
If you are in doubt, feel free to contact webmaster@ide.mdh.se
Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering
Publication Type:
Conference/Workshop Paper
Venue:
Workshop on Artificial Intelligence and Model-driven Engineering
Abstract
There is an increasing interest in research on the combination of
AI techniques and methods with MDE. However, there is a gap
between AI and MDE practices, as well as between researchers and
practitioners. This paper tackles this gap by reporting on industrial
requirements in this field. In the AIDOaRt research project, practi-
tioners and researchers collaborate on AI-augmented automation
supporting modeling, coding, testing, monitoring, and continuous
development in cyber-physical systems. The project specifically
lies at the intersection of industry and academia collaboration with
several industrial use cases. Through a process of elicitation and re-
finement, 78 high-level requirements were defined, and generalized
into 30 generic requirements by the AIDOaRt partners. The main
contribution of this paper is the set of generic requirements from the
project for enhancing the development of cyber-physical systems
with artificial intelligence, DevOps, and model-driven engineer-
ing, identifying the hot spots of industry needs in the interactions
of MDE and AI. Future work will refine, implement and evaluate
solutions toward these requirements in industry contexts.
Bibtex
@inproceedings{Bergelin6528,
author = {Johan Bergelin and Per Erik Strandberg},
title = {Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering},
month = {October},
year = {2022},
booktitle = {Workshop on Artificial Intelligence and Model-driven Engineering },
url = {http://www.es.mdu.se/publications/6528-}
}