The Factors Influencing Well-Being in Software Engineers: A Mixed-Method Study
Journal article, 2025
Despite increasing recognition of mental health challenges in software engineering, few studies focus on the factors that sustain or undermine well-being. Existing research often overlooks the interaction between personal, collaborative, and organisational influences on this unique population. This study fills this gap by investigating the specific factors affecting the well-being of software engineers. We conducted 15 qualitative interviews and complemented them with a survey with participants from multiple countries to validate and extend our findings to a broader population. Our mixed-methods approach provides a robust framework to identify key factors influencing well-being, including personal perceptions of well-being, interpersonal and collaborative dynamics, workplace support and recognition, organisational culture, and specific stressors inherent to software engineering.
By offering a detailed, context-specific exploration of these factors, our study builds on existing literature and provides actionable insights for improving well-being in software engineering. We conclude with policy recommendations to inform organisational strategies and develop targeted interventions that address the specific challenges of this field, contributing to more sustainable and supportive work environments.
Well-being
Resilience
Human aspects
Software engineers
Author
Cristina Martinez Montes
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
University of Gothenburg
Birgit Penzenstadler
University of Gothenburg
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Robert Feldt
University of Gothenburg
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
ACM Transactions on Software Engineering and Methodology
1049-331X (ISSN) 15577392 (eISSN)
Vol. In PressSubject Categories (SSIF 2025)
Production Engineering, Human Work Science and Ergonomics
Software Engineering
Work Sciences
DOI
10.1145/3770074