Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options

Christian Kop

2025

Abstract

Working with a Generative AI such as ChatGPT to create conceptual models and particularly Class Diagrams became very popular recently in the modelling community. Therefore, the objectives of this paper are the following: It analyses the previous scientific work to summarize the findings about the quality of AI-generated Class Diagrams. Own tests were carried out too. Based on these findings, the paper provides guidelines for manual quality evaluation. It also discusses automation options for evaluating the quality.

Paper Citation

in Harvard Style

Kop C. (2025). Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD; ISBN 978-989-758-729-0, SciTePress, pages 150-157. DOI: 10.5220/0013103000003896

in Bibtex Style

@conference{modelsward25,
author={Christian Kop},
title={Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD},
year={2025},
pages={150-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013103000003896},
isbn={978-989-758-729-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD
TI - Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options
SN - 978-989-758-729-0
AU - Kop C.
PY - 2025
SP - 150
EP - 157
DO - 10.5220/0013103000003896
PB - SciTePress