PersonaGen: A Tool for Generating Personas from User Feedback
July 01, 2023 Β· Declared Dead Β· π IEEE International Requirements Engineering Conference
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Authors
Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora
arXiv ID
2307.00390
Category
cs.SE: Software Engineering
Citations
22
Venue
IEEE International Requirements Engineering Conference
Last Checked
4 months ago
Abstract
Personas are crucial in software development processes, particularly in agile settings. However, no effective tools are available for generating personas from user feedback in agile software development processes. To fill this gap, we propose a novel tool that uses the GPT-4 model and knowledge graph to generate persona templates from well-processed user feedback, facilitating requirement analysis in agile software development processes. We developed a tool called PersonaGen. We evaluated PersonaGen using qualitative feedback from a small-scale user study involving student software projects. The results were mixed, highlighting challenges in persona-based educational practice and addressing non-functional requirements.
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