Home > Research > Publications & Outputs > Advancing the Study of Human Values in Software...

Electronic data

  • CHASE pre-print accepted version

    Rights statement: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Accepted author manuscript, 1 MB, PDF-document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

View graph of relations

Advancing the Study of Human Values in Software Engineering

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Forthcoming
Publication date1/03/2019
Host publication IEEE/ACM 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).
Original languageEnglish
EventIEEE/ACM 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE). - Montreal, Canada
Duration: 27/05/201927/05/2019
http://conferences.computer.org/chase2019/

Workshop

WorkshopIEEE/ACM 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).
Abbreviated titleCHASE2019
CountryCanada
Period27/05/1927/05/19
Internet address

Workshop

WorkshopIEEE/ACM 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).
Abbreviated titleCHASE2019
CountryCanada
Period27/05/1927/05/19
Internet address

Abstract

This paper makes the case for the study of human values in Software Engineering (SE) as a highly important emerging area of research with significant societal implications. We offer two key principles in order to advance this research agenda: firstly, the significance of values as distinguished from, though connected to, ethics; and secondly, the need for clear theoretical frameworks for values study. We provide the emerging findings from an initial study (N=12 participants) using a Values Q-Sort tool that was designed in accordance with these two principles. We conclude with discussion around lessons learnt, ongoing challenges, and future directions.

Bibliographic note

©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE