Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives

2025-07-07

AI Summary

This study addresses the lack of a rigorous definition of empathy in software engineering, along with persistent practical barriers and organizational impacts. Using qualitative content analysis, we coded 55 practitioner-oriented gray literature articles from DEV and Medium platforms, supplemented by expert questionnaire-based triangulation. We propose the first operational definition of empathy tailored to software engineering and introduce an integrated conceptual framework comprising three dimensions: (1) impediments—including toxic culture and technocentrism; (2) cultivation practices—such as role reversal and user-empathy workshops; and (3) outcome metrics—namely collaboration quality and communication effectiveness. Expert evaluation confirms the framework’s strong construct validity and pragmatic feasibility. Empirically grounded and theory-informed, it enhances team empathic awareness, mitigates interpersonal tension, and strengthens cross-functional collaboration—thereby advancing both research on engineering humanistic competencies and their practical implementation.

Technology Category

• Application Domains: Software Engineering
• Humans and AI: Emotional Intelligence
• Cognitive Modeling & Cognitive Systems: Affective Computing

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Web Mining and Content Analysis: Sentiment analysis and opinion mining
• Social Networks and Social Media: Socio-technical web-based systems

Abstract

Context. Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic. Aims. This study investigates empathy in SE from practitioners' perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects. Method. A qualitative content analysis was conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners. To strengthen our findings, we conducted a follow-up survey with empathy experts. Results. The study proposes a definition of empathy in SE, identifies barriers such as toxic culture and excessive technical focus, practices to foster empathy in teams, and outcomes, including improved collaboration, communication, and reduced anxiety, frustration, and stress. These findings are synthesized into a conceptual framework. Conclusion. Survey results indicate the framework is clear, valuable, and raises empathy awareness, with suggestions for improvements and integration into training. This study paves the way for improving team dynamics by addressing barriers and offering strategies to cultivate empathy. Future work will explore empathy's broader implications in SE practice.

Problem

• Defining empathy in software engineering context
• Identifying barriers to empathy like toxic culture
• Proposing practices to enhance team empathy

Innovation

• Qualitative content analysis of web articles
• Follow-up survey with empathy experts
• Conceptual framework for empathy in SE