.png){kind=icon}
.png){kind=icon}
Return
Applying Human Values Theory to Software Engineering Practice: Lessons and Implications
.png){kind=icon}
OA
AI
DOI：10.1109/TSE.2022.3170087.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The study of human values in software engineering (SE) is increasingly recognised as a fundamental human-centric issue of SE decision making. However, values studies in SE still face a number of issues, including the difficulty of eliciting values in a systematic and structured way, the challenges of measuring and tracking values over time, and the lack of practice-based understanding of values among software practitioners. This paper aims to help address these issues by: 1) outlining a research framework that supports a systematic approach to values elicitation, analysis, and understanding; 2) introducing tools and techniques that help elicit and measure values during SE decision making processes in a systematic way; and 3) applying such tools to a month-long research sprint co-designed with an industry partner and conducted with 27 software practitioners. The case study builds on lessons from an earlier pilot (12 participants) and combines in-situ observations with the use of two values-informed tools: the Values Q-Sort (V-QS), and the Values-Retro. The V-QS adapts instruments from values research to the SE context, the Values-Retro adapts existing SE techniques to values theory. We distil implications for research and practice in ten lessons learned.
Keywords:
Software
Ethics
Systematics
Industries
Software measurement
Decision making
Adaptation models
Software engineering
human values in software practice
human-centric software engineering
case studies of practice
ethics
non-functional requirements
responsible innovations
agile retrospectives
mixed-methods
Journal
IF:
5.6
Papers:
2.8K
Citations:
1.1W