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Authors: Padma Iyenghar 1 ; 2 ; Friedrich Otte 2 and Elke Pulvermueller 2

Affiliations: 1 innotec GmbH, Erlenweg 12, 49324 Melle, Germany ; 2 Software Engineering Research Group, University of Osnabrueck, Germany

Keyword(s): Artificial Intelligence, Model-Driven Engineering (MDE), Embedded Software Engineering (ESE), Unified Modeling Language (UML), Software Development, MDE Tool.

Abstract: In this paper, an use case of Artificial Intelligence (AI) empowered Model Driven Engineering (MDE) in the field of Embedded Software Engineering (ESE) is introduced. In this context, we propose to qualify MDE tools for ESE with an AI assistant or a chatbot. The requirements for the first version of such an assistant and the design concepts involved are discussed. A prototype of such an assistant developed using an open source conversational AI framework used in tandem with an MDE tool for ESE is presented. Empowering MDE tools with such AI assistants, would aid novices in MDE or even non-programmer to learn and adopt model-driven ESE with a not-so-steep learning curve.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Iyenghar, P.; Otte, F. and Pulvermueller, E. (2022). AI-guided Model-Driven Embedded Software Engineering. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-550-0; ISSN 2184-4348, SciTePress, pages 395-404. DOI: 10.5220/0011006200003119

@conference{modelsward22,
author={Padma Iyenghar. and Friedrich Otte. and Elke Pulvermueller.},
title={AI-guided Model-Driven Embedded Software Engineering},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2022},
pages={395-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011006200003119},
isbn={978-989-758-550-0},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - AI-guided Model-Driven Embedded Software Engineering
SN - 978-989-758-550-0
IS - 2184-4348
AU - Iyenghar, P.
AU - Otte, F.
AU - Pulvermueller, E.
PY - 2022
SP - 395
EP - 404
DO - 10.5220/0011006200003119
PB - SciTePress