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Measuring human values in software engineering

Authors:

Maria Angela FerrarioAuthors Info & Claims

ESEM '18: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Article No.: 48, Pages 1 - 4

https://doi.org/10.1145/3239235.3267427

Published: 11 October 2018 Publication History

Abstract

Background: Human values, such as prestige, social justice, and financial success, influence software production decision-making processes. While their subjectivity makes some values difficult to measure, their impact on software motivates our research. Aim: To contribute to the scientific understanding and the empirical investigation of human values in Software Engineering (SE). Approach: Drawing from social psychology, we consider values as mental representations to be investigated on three levels: at a system (L1), personal (L2), and instantiation level (L3). Method: We design and develop a selection of tools for the investigation of values at each level, and focus on the design, development, and use of the Values Q-Sort. Results: From our study with 12 software practitioners, it is possible to extract three values `prototypes' indicative of an emergent typology of values considerations in SE. Conclusions: The Values Q-Sort generates quantitative values prototypes indicating values relations (L1) as well as rich personal narratives (L2) that reflect specific software practices (L3). It thus offers a systematic, empirical approach to capturing values in SE.

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https://doi.org/10.1016/j.infsof.2024.107609
Gao HZahedi MTreude CRosenstock SCheong M(2024)Documenting Ethical Considerations in Open Source AI ModelsProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686679(177-188)Online publication date: 24-Oct-2024
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Jamieson JYamashita NFoong ERoychoudhury APaiva AAbreu RStorey M(2024)Predicting open source contributor turnover from value-related discussions: An analysis of GitHub issuesProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3623340(1-13)Online publication date: 20-May-2024
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Index Terms

Measuring human values in software engineering
1. General and reference
  1. Cross-computing tools and techniques
    1. Empirical studies

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Published In

cover image ACM Conferences

ESEM '18: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

October 2018

487 pages

ISBN:9781450358231

DOI:10.1145/3239235

General Chair:
Markku Oivo
University of Oulu, Finland
,
Program Chairs:
Daniel Méndez
Technical University of Munich, Germany
,
Audris Mockus
University of Tennessee

Copyright © 2018 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGSOFT: ACM Special Interest Group on Software Engineering

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IEEE CS

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 October 2018

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Engineering and Physical Sciences Research Council UK

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ESEM '18

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SIGSOFT

ESEM '18: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement

October 11 - 12, 2018

Oulu, Finland

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Overall Acceptance Rate 130 of 594 submissions, 22%

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Cited By

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https://doi.org/10.1016/j.infsof.2024.107609
Gao HZahedi MTreude CRosenstock SCheong M(2024)Documenting Ethical Considerations in Open Source AI ModelsProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3674805.3686679(177-188)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3674805.3686679
Jamieson JYamashita NFoong ERoychoudhury APaiva AAbreu RStorey M(2024)Predicting open source contributor turnover from value-related discussions: An analysis of GitHub issuesProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3623340(1-13)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3623340
Wohlrab RHerrmann MLazik CWyrich MNunes ISchneider KGren LHeinrich R(2024)Supporting Value-Aware Software Engineering Through Traceability and Value TacticsProduct-Focused Software Process Improvement10.1007/978-3-031-78386-9_27(368-376)Online publication date: 27-Nov-2024
https://doi.org/10.1007/978-3-031-78386-9_27
Grundy JKanij TMcIntosh JKhalijah HMueller I(2024)Developers’ Perspective of Diverse End User RequirementsEquity, Diversity, and Inclusion in Software Engineering10.1007/978-1-4842-9651-6_7(105-120)Online publication date: 21-Sep-2024
https://doi.org/10.1007/978-1-4842-9651-6_7
Khalajzadeh HShahin MObie HAgrawal PGrundy J(2023)Supporting Developers in Addressing Human-Centric Issues in Mobile AppsIEEE Transactions on Software Engineering10.1109/TSE.2022.321232949:4(2149-2168)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSE.2022.3212329
Ferrario MWinter E(2023)Applying Human Values Theory to Software Engineering Practice: Lessons and ImplicationsIEEE Transactions on Software Engineering10.1109/TSE.2022.317008749:3(973-990)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TSE.2022.3170087
Shams RBano MZowghi DLu QWhittle J(2023)Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)10.1109/REW57809.2023.00030(138-145)Online publication date: Sep-2023
https://doi.org/10.1109/REW57809.2023.00030
Marczak-Czajka ACleland-Huang J(2023)Using ChatGPT to Generate Human-Value User Stories as Inspirational Triggers2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)10.1109/REW57809.2023.00016(52-61)Online publication date: Sep-2023
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Hess AKohl MScherr SStorck SHammer F(2023)Investigating Social Aspects in Software Development Teams — A Research Preview2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)10.1109/REW57809.2023.00011(26-29)Online publication date: Sep-2023
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