A novel software defect prediction based on atomic class-association rule mining.
Yuanxun ShaoBin LiuShihai WangGuoqi LiPublished in: Expert Syst. Appl. (2018)
Keyphrases
- association rule mining
- association rules
- software defect prediction
- data mining
- data mining techniques
- itemsets
- knowledge discovery
- frequent itemsets
- frequent subtree mining
- classification rule mining
- discovered association rules
- association rule mining algorithm
- interestingness measures
- ensemble learning
- positive and negative association rules
- data sets
- feature extraction
- genetic network programming