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Authors: Leon Görgen 1 ; Eric Müller 1 ; Marcus Triller 1 ; Benjamin Nast 1 and Kurt Sandkuhl 1 ; 2

Affiliations: 1 Institute of Computer Science, Rostock University, Albert-Einstein-Str. 22, 18059 Rostock, Germany ; 2 School of Engineering, Jönköping University, Gjuterigatan 5, 55111 Jönköping, Sweden

Keyword(s): Enterprise Modeling, Large Language Model, ChatGPT, Artificial Intelligence, Proxy Domain Expert, Process Modeling.

Abstract: In many engineering disciplines, modeling is considered an essential part of the development process. Examples are model-based development in software engineering, enterprise engineering in industrial organization, or digital twin engineering in manufacturing. In these engineering disciplines, the application of modeling usually includes different phases such as target setting, requirements elicitation, architecture specification, system design, or test case development. The focus of the work presented in this paper is on the early phases of systems development, specifically on requirements engineering (RE). More specifically, we address the question of whether domain experts can be substituted by artificial intelligence (AI) usage. The aim of our work is to contribute to a more detailed understanding of the limits of large language models (LLMs). In this work, we widen the investigation to include not only processes but also required roles, legal frame conditions, and resources. Fur thermore, we aim to develop not only a rough process overview but also a detailed process description. For this purpose, we use a process from hospitality management and compare the output of ChatGPT, one of the most popular LLMs currently, with the view of a domain expert. (More)

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Paper citation in several formats:
Görgen, L.; Müller, E.; Triller, M.; Nast, B. and Sandkuhl, K. (2024). Large Language Models in Enterprise Modeling: Case Study and Experiences. In Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MODELSWARD; ISBN 978-989-758-682-8; ISSN 2184-4348, SciTePress, pages 74-85. DOI: 10.5220/0012387000003645

@conference{modelsward24,
author={Leon Görgen. and Eric Müller. and Marcus Triller. and Benjamin Nast. and Kurt Sandkuhl.},
title={Large Language Models in Enterprise Modeling: Case Study and Experiences},
booktitle={Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MODELSWARD},
year={2024},
pages={74-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012387000003645},
isbn={978-989-758-682-8},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MODELSWARD
TI - Large Language Models in Enterprise Modeling: Case Study and Experiences
SN - 978-989-758-682-8
IS - 2184-4348
AU - Görgen, L.
AU - Müller, E.
AU - Triller, M.
AU - Nast, B.
AU - Sandkuhl, K.
PY - 2024
SP - 74
EP - 85
DO - 10.5220/0012387000003645
PB - SciTePress