- Generation of synthetic data for training machine learning models in the context of software engineering.
- Application of machine learning techniques for software defect prediction and code quality analysis.
- Development of machine learning models for software effort estimation and project management.
- Exploration of machine learning algorithms for software requirement analysis and natural language processing in software engineering.
- Investigation of machine learning approaches for software testing and test case generation.