Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning.
Eunseob KimJongmoon BaikDuksan RyuPublished in: QRS (2021)
Keyphrases
- ensemble learning
- multiple sources
- defect prediction
- software repositories
- software projects
- generalization ability
- ensemble methods
- random forest
- base classifiers
- source code
- address these issues
- software development
- user interests
- concept drift
- data sources
- case study
- feature selection
- unsupervised learning
- artificial intelligence
- software evolution