research-article

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Retrospective based on data-driven persona significance in B-to-B software development

Authors:

Yasuhiro Watanabe,

Hironori Washizaki,

Yoshiaki Fukazawa,

Akira Matsuzaki,

Takayoshi SuzukiAuthors Info & Claims

ICSE-NIER '18: Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results

Pages 89 - 92

https://doi.org/10.1145/3183399.3183410

Published: 27 May 2018 Publication History

Abstract

A Business-to-Business (B-to-B) software development company develops services to satisfy their customers' requirements. Developers should prioritize customer satisfaction because customers greatly influence on agile software development. However, it is possible that a B-to-B software development company has following issues: 1) failure to understand actual users because the requirements are not often derived from actual users and 2) failure to satisfy the future customers' requirements when only satisfying current customers. Although many previous works proposed methods to elicit the requirements based on actual quantitative data, these works had not considered customers and end-users simultaneously. Herein we proposed Retrospective based on Data-Driven Persona Significance (ReD2PS) to help developers to plan future releases. ReD2PS includes Persona Significance Index (PerSil) to reflect the correspondence between target users, which developers assume based on requirements in releases, and end-users' personas. A case study involving a Japanese cloud application shows that PerSil reflects the relationship between target users and end-users to discuss about the validity and effectiveness of ReD2PS.

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Cited By

Wang YArora CLiu XHoang TMalhotra VCheng BGrundy J(2025)Who uses personas in requirements engineering: The practitioners’ perspectiveInformation and Software Technology10.1016/j.infsof.2024.107609178(107609)Online publication date: Feb-2025
https://doi.org/10.1016/j.infsof.2024.107609
Sera RWashizaki HChen JFukazawa YTaga MNakagawa KSakai YHonda KGraziotin DNolte APenzenstadler BStol KDestefanis GSoria AAbrahão S(2024)Development of Data-driven Persona Including User Behavior and Pain Point through Clustering with User Log of B2B SoftwareProceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering10.1145/3641822.3641870(85-90)Online publication date: 12-Jun-2024
https://doi.org/10.1145/3641822.3641870
Zhang XLiu LWang YLiu XWang HRen AArora C(2023)PersonaGen: A Tool for Generating Personas from User Feedback2023 IEEE 31st International Requirements Engineering Conference (RE)10.1109/RE57278.2023.00048(353-354)Online publication date: Sep-2023
https://doi.org/10.1109/RE57278.2023.00048
Show More Cited By

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Published In

cover image ACM Conferences

ICSE-NIER '18: Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results

May 2018

130 pages

ISBN:9781450356626

DOI:10.1145/3183399

Conference Chairs:
Andrea Zisman
The Open University
,
Sven Apel
University of Passau, Germany

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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IEEE-CS: Computer Society

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New York, NY, United States

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Published: 27 May 2018

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ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

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Cited By

Wang YArora CLiu XHoang TMalhotra VCheng BGrundy J(2025)Who uses personas in requirements engineering: The practitioners’ perspectiveInformation and Software Technology10.1016/j.infsof.2024.107609178(107609)Online publication date: Feb-2025
https://doi.org/10.1016/j.infsof.2024.107609
Sera RWashizaki HChen JFukazawa YTaga MNakagawa KSakai YHonda KGraziotin DNolte APenzenstadler BStol KDestefanis GSoria AAbrahão S(2024)Development of Data-driven Persona Including User Behavior and Pain Point through Clustering with User Log of B2B SoftwareProceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering10.1145/3641822.3641870(85-90)Online publication date: 12-Jun-2024
https://doi.org/10.1145/3641822.3641870
Zhang XLiu LWang YLiu XWang HRen AArora C(2023)PersonaGen: A Tool for Generating Personas from User Feedback2023 IEEE 31st International Requirements Engineering Conference (RE)10.1109/RE57278.2023.00048(353-354)Online publication date: Sep-2023
https://doi.org/10.1109/RE57278.2023.00048
Spiliotopoulos DMargaris DKoutrakis KPhilippopoulos PVassilakis C(2022)Persona Finetuning for Online Gaming Using Personalisation TechniquesHCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games10.1007/978-3-031-22131-6_48(656-668)Online publication date: 25-Nov-2022
https://doi.org/10.1007/978-3-031-22131-6_48
Washizaki H(2022)Towards Software Co-Engineering by AI and DevelopersHandbook on Artificial Intelligence-Empowered Applied Software Engineering10.1007/978-3-031-08202-3_3(39-53)Online publication date: 4-Sep-2022
https://doi.org/10.1007/978-3-031-08202-3_3
Watanabe YWashizaki HFukazawa YHonda KTaga MMatsuzaki ASuzuki T(2021)Data-Driven Persona Retrospective Based on Persona Significance Index in B-to-B Software DevelopmentInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402150002931:01(117-146)Online publication date: 4-Feb-2021
https://doi.org/10.1142/S0218194021500029
Washizaki HHagimoto JHamai KSeki MInoue TTaniguchi SKobayashi HHiranabe KHanyuda E(2020)Framework and Value-Driven Process of Software Engineering for Business and Society (SE4BS)2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI50415.2020.00141(701-706)Online publication date: Sep-2020
https://doi.org/10.1109/IIAI-AAI50415.2020.00141
Washizaki H(2020)Towards Software Value Co-Creation with AI2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC48688.2020.0-112(1117-1118)Online publication date: Jul-2020
https://doi.org/10.1109/COMPSAC48688.2020.0-112

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