This research combines Large Language Models with Triadic Concept Analysis to automatically generate user stories for software product families.

• Creates structured (system, role, feature) requirements from variability data
• Leverages LLMs to generate contextually appropriate user stories
• Produces consistent documentation across multiple related software products
• Reduces manual effort in Agile requirements gathering

For engineering teams, this approach streamlines the development of software product lines by automating the creation of comprehensive user stories that account for system variations while maintaining consistency.

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