An empirical study on dependence clusters for effort-aware fault-proneness prediction.
Yibiao YangMark HarmanJens KrinkeSyed S. IslamDavid W. BinkleyYuming ZhouBaowen XuPublished in: ASE (2016)
Keyphrases
- prediction accuracy
- clustering algorithm
- fault diagnosis
- fault detection
- data points
- clustering framework
- unsupervised clustering
- prediction model
- cluster analysis
- prediction algorithm
- prediction error
- density based clustering
- fuzzy clustering
- hierarchical clustering
- development process
- data clustering
- clustering method