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Burnout in Software Engineering: A Systematic Mapping Study

Mar 1, 2023
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Abstract

This paper is a systematic mapping study (SMS) of the studies on burnout in SE, exploring its causes and consequences, and how it is studied (e.g., choice of data). Our study shows that early research on burnout was primarily qualitative, which has steadily moved to more quantitative, data-driven in the last decade. The emergence of machine learning (ML) approaches to detect burnout in developers has become a de-facto standard.

Authors

  • Tien Rahayu Tulili
  • Andrea Capiluppi
  • Ayushi Rastogi