Advances, Systems and Applications
Table 1 Properties of the selected datasets
From: Cloud-based bug tracking software defects analysis using deep learning
Data Source | Dataset | Number of metrics in the original dataset | Number of metrics calculated with OSA | Number of instances | Number of defective instances | Number of non-defective instances |
|---|---|---|---|---|---|---|
Tera-promise | Xalan 2.6 | 22 | 60 | 885 | 411 (46.44%) | 474 (53.56%) |
Velocity 1.5 | 22 | 60 | 213 | 141 (66.29%) | 72 (33.71%) | |
Poi 3.0 | 22 | 60 | 442 | 281 (63.57%) | 161 (36.43%) | |
GitHub Bug Repository | Netty 3.6.3 | 60 | 60 | 1143 | 271 (23.71%) | 1072 (76.29%) |
mcMMO 1.4.06 | 60 | 60 | 301 | 57 (18.94%) | 244 (81.06%) |