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

1. 1Identify relevant data sources to train ML models
2. 2Develop and train ML models using datasets related to software engineer behavior and burnout
3. 3Evaluate model performance and select the most effective approach
4. 4Implement the chosen model in a real-world setting to detect burnout early

Software engineers, product managers, and team leads can benefit from this research to improve team well-being and productivity

💡 Machine learning can be used to identify burnout in software engineers before it becomes a major issue

💡 ML models can detect burnout in software engineers early!