Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis

Alexandre Bazin, Alain Gutierrez, Marianne Huchard, Pierre Martin, Pierre Martin, Yulin Zhang

2025

Abstract

A widely used Agile practice for requirements is to produce a set of user stories (also called “agile product backlog”), which roughly includes a list of pairs (role, feature), where the role handles the feature for a certain purpose. In the context of Software Product Lines, the requirements for a family of similar systems is thus a family of user-story sets, one per system, leading to a 3-dimensional dataset composed of sets of triples (system, role, feature). In this paper, we combine Triadic Concept Analysis (TCA) and Large Language Model (LLM) prompting to suggest the user-story set required to develop a new system relying on the variability logic of an existing system family. This process consists in 1) computing 3-dimensional variability expressed as a set of TCA implications, 2) providing the designer with intelligible design options, 3) capturing the designer’s selection of options, 4) proposing a first user-story set corresponding to this selection, 5) consolidating its validity according to the implications identified in step 1, while completing it if necessary, and 6) leveraging LLM to have a more comprehensive website. This process is evaluated with a dataset comprising the user-story sets of 67 similar-purpose websites.

Paper Citation

in Harvard Style

Bazin A., Gutierrez A., Huchard M., Martin P. and Zhang Y. (2025). Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 618-625. DOI: 10.5220/0013360500003928

in Bibtex Style

@conference{enase25,
author={Alexandre Bazin and Alain Gutierrez and Marianne Huchard and Pierre Martin and Yulin Zhang},
title={Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={618-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013360500003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis
SN - 978-989-758-742-9
AU - Bazin A.
AU - Gutierrez A.
AU - Huchard M.
AU - Martin P.
AU - Zhang Y.
PY - 2025
SP - 618
EP - 625
DO - 10.5220/0013360500003928
PB - SciTePress