Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing

José Lameh, José Lameh, Alexandra Dubray, Marija Jankovic

2025

Abstract

This paper explores the integration of Artificial Intelligence (AI), particularly Natural Language Processing (NLP), with feature modeling (FM) in Product Line Engineering (PLE) for Systems Engineering. By leveraging AI to formalize and model variability, the study proposes an algorithm to assist subsystem owners in describing variability, generating prompts, and producing feature models. The results demonstrate AI’s ability to detect and resolve common modeling issues, such as dead features, false optional features, and constraint inconsistencies, while enhancing model validation and anomaly detection. Although the approach is promising, limitations in scalability, conflict resolution, and integration across subsystems highlight the need for future research to establish a comprehensive and scalable methodology. This work underscores AI's potential to streamline feature modeling and improve the consistency and efficiency of variability management in complex systems.

Paper Citation

in Harvard Style

Lameh J., Dubray A. and Jankovic M. (2025). Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration; ISBN 978-989-758-729-0, SciTePress, pages 450-457. DOI: 10.5220/0013442900003896

in Bibtex Style

@conference{mbse-ai integration25,
author={José Lameh and Alexandra Dubray and Marija Jankovic},
title={Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration},
year={2025},
pages={450-457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013442900003896},
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: MBSE-AI Integration
TI - Automating Feature Modeling in Product Line Engineering for Systems Engineering: The Application of Natural Language Processing
SN - 978-989-758-729-0
AU - Lameh J.
AU - Dubray A.
AU - Jankovic M.
PY - 2025
SP - 450
EP - 457
DO - 10.5220/0013442900003896
PB - SciTePress