Automated Quality Model Management Using Semantic Technologies

Reinhold Plösch, Florian Ernst, Matthias Saft

2025

Abstract

The starting point for this paper and service for the query-based generation of quality models was the requirement to be able to manage software quality models dynamically, as detailed domain knowledge is usually required for this task. We present new approaches regarding the query-based generation of software quality models and the creation of profiles for quality analyses using the code quality tool SonarQube. Furthermore, our support for the automatic assignment of software quality rules to entries of a hierarchical quality model simplifies the maintenance of the models with the help of machine learning models and large language models (HMCN and SciBERT in our case). The resulting findings were evaluated for their practical suitability using expert interviews. The results are promising and show that semantic management of quality models could help spreading the use of quality models, as it considerably reduces the maintenance effort.

Paper Citation

in Harvard Style

Plösch R., Ernst F. and Saft M. (2025). Automated Quality Model Management Using Semantic Technologies. In Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-757-3, SciTePress, pages 223-232. DOI: 10.5220/0013502900003964

in Bibtex Style

@conference{icsoft25,
author={Reinhold Plösch and Florian Ernst and Matthias Saft},
title={Automated Quality Model Management Using Semantic Technologies},
booktitle={Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2025},
pages={223-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013502900003964},
isbn={978-989-758-757-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Automated Quality Model Management Using Semantic Technologies
SN - 978-989-758-757-3
AU - Plösch R.
AU - Ernst F.
AU - Saft M.
PY - 2025
SP - 223
EP - 232
DO - 10.5220/0013502900003964
PB - SciTePress