PersonaGen: A tool for generating personas from user feedback

Xishuo Zhang; Lin Liu; Yi Wang; Xiao Liu; Hailong Wang; Anqi Ren; Chetan Arora

doi:10.1109/RE57278.2023.00048

PersonaGen: A tool for generating personas from user feedback

Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora

Department of Software Systems & Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

9 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023
Editors	Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	353-354
Number of pages	2
ISBN (Electronic)	9798350326895
DOIs	https://doi.org/10.1109/RE57278.2023.00048
Publication status	Published - 2023
Event	IEEE International Requirements Engineering Conference 2023 - Hannover, Germany Duration: 4 Sept 2023 → 8 Sept 2023 Conference number: 31st https://ieeexplore.ieee.org/xpl/conhome/10260705/proceeding (Proceedings) https://conf.researchr.org/home/RE-2023/ (Website)

Conference

Conference	IEEE International Requirements Engineering Conference 2023
Abbreviated title	RE 2023
Country/Territory	Germany
City	Hannover
Period	4/09/23 → 8/09/23
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10260705/proceeding (Proceedings) https://conf.researchr.org/home/RE-2023/ (Website)

Keywords

GPT-4 Model
Knowledge Graph
Persona
Requirements Engineering
User Feedback

Access to Document

10.1109/RE57278.2023.00048

Cite this

Zhang, X., Liu, L., Wang, Y., Liu, X., Wang, H., Ren, A., & Arora, C. (2023). PersonaGen: A tool for generating personas from user feedback. In K. Schneider, F. Dalpiaz, & J. Horkoff (Eds.), Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023 (pp. 353-354). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RE57278.2023.00048

@inproceedings{b9305cbffbcb4f758f0bcd7225ffca69,

title = "PersonaGen: A tool for generating personas from user feedback",

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.",

keywords = "GPT-4 Model, Knowledge Graph, Persona, Requirements Engineering, User Feedback",

author = "Xishuo Zhang and Lin Liu and Yi Wang and Xiao Liu and Hailong Wang and Anqi Ren and Chetan Arora",

note = "Funding Information: ACKNOWLEDGEMENTS This work is supported by the Natural Science Foundation of Inner Mongolia (Grand No.2023LHMS060062020), National Key Research and Development Plan (Grand No.2020YFC1523305). Publisher Copyright: {\textcopyright} 2023 IEEE.; IEEE International Requirements Engineering Conference 2023, RE 2023 ; Conference date: 04-09-2023 Through 08-09-2023",

year = "2023",

doi = "10.1109/RE57278.2023.00048",

language = "English",

pages = "353--354",

editor = "Kurt Schneider and Fabiano Dalpiaz and Jennifer Horkoff",

booktitle = "Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/10260705/proceeding, https://conf.researchr.org/home/RE-2023/",

}

Zhang, X, Liu, L, Wang, Y, Liu, X, Wang, H, Ren, A & Arora, C 2023, PersonaGen: A tool for generating personas from user feedback. in K Schneider, F Dalpiaz & J Horkoff (eds), Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 353-354, IEEE International Requirements Engineering Conference 2023, Hannover, Germany, 4/09/23. https://doi.org/10.1109/RE57278.2023.00048

PersonaGen: A tool for generating personas from user feedback. / Zhang, Xishuo; Liu, Lin; Wang, Yi et al.
Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023. ed. / Kurt Schneider; Fabiano Dalpiaz; Jennifer Horkoff. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2023. p. 353-354.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - PersonaGen

T2 - IEEE International Requirements Engineering Conference 2023

AU - Zhang, Xishuo

AU - Liu, Lin

AU - Wang, Yi

AU - Liu, Xiao

AU - Wang, Hailong

AU - Ren, Anqi

AU - Arora, Chetan

N1 - Conference code: 31st

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AB - 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.

KW - GPT-4 Model

KW - Knowledge Graph

KW - Persona

KW - Requirements Engineering

KW - User Feedback

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BT - Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023

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PB - IEEE, Institute of Electrical and Electronics Engineers

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Zhang X, Liu L, Wang Y, Liu X, Wang H, Ren A et al. PersonaGen: A tool for generating personas from user feedback. In Schneider K, Dalpiaz F, Horkoff J, editors, Proceedings - 31st IEEE International Requirements Engineering Conference, RE 2023. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2023. p. 353-354 doi: 10.1109/RE57278.2023.00048

PersonaGen: A tool for generating personas from user feedback

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