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

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

来源:Arxiv_logoArxiv
英文摘要

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.

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

HuaxiHuaxiHuaxiHuaxiHuaxi

10.5220/0013360500003928

计算技术、计算机技术

Alexandre Bazin,Alain Gutierrez,Marianne Huchard,Pierre Martin,Yulin,Zhang.Variability-Driven User-Story Generation using LLM and Triadic Concept Analysis[EB/OL].(2025-04-11)[2025-05-04].https://arxiv.org/abs/2504.08666.点此复制

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