Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.
Ke LiZilin XiangTao ChenShuo WangKay Chen TanPublished in: ICSE (2020)
Keyphrases
- transfer learning
- parameter optimization
- defect prediction
- software projects
- genetic algorithm ga
- cross domain
- labeled data
- genetic algorithm
- differential evolution
- machine learning
- reinforcement learning
- semi supervised learning
- parameter settings
- machine learning algorithms
- collaborative filtering
- text categorization
- project management
- text classification
- active learning
- transfer knowledge
- software development
- text mining
- case study
- learning algorithm
- pid controller
- data sets
- feature selection
- data analysis
- fitness function