Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review

ArXi:2603.23063v1 Announce Type: cross Burnout is an occupational syndrome that, like many other professions, affects the majority of software engineers. Past research studies showed important trends, including an increasing use of machine learning techniques to allow for an early detection of burnout. This paper is a systematic literature review (SLR) of the research papers that proposed machine learning (ML) approaches, and focused on detecting burnout in software developers and IT professionals.