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Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering

Fulltext:


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.mdh.se/publications/6528-}
}