An Empirical Study on Software Defect Prediction Using Over-Sampling by SMOTE.
CholMyong PakTiantian WangXiaohong SuPublished in: Int. J. Softw. Eng. Knowl. Eng. (2018)
Keyphrases
- software defect prediction
- imbalanced data
- sampling methods
- class imbalance
- class distribution
- support vector machine
- linear regression
- classification models
- feature selection
- minority class
- random forest
- ensemble methods
- svm classifier
- ensemble classifier
- decision trees
- ensemble learning
- data sets
- random sampling
- logistic regression
- pairwise
- sample selection bias