Research Article
A Software Defect Prediction Approach Based on Hybrid Feature Dimensionality Reduction
| Dataset | Project | #Feature | #Instances | #Defect | Defect (%) |
| AEEEM | EQ | 61 | 324 | 129 | 39.81 | JDT | 61 | 997 | 206 | 20.66 | LC | 61 | 691 | 64 | 9.26 | ML | 61 | 1,862 | 245 | 13.16 | PDE | 61 | 1,497 | 209 | 13.96 |
| SOFTLAB | AR1 | 29 | 121 | 9 | 7.44 | AR3 | 29 | 63 | 8 | 12.70 | AR4 | 29 | 107 | 20 | 18.69 | AR5 | 29 | 36 | 8 | 22.22 | AR6 | 29 | 101 | 15 | 14.85 |
| MORPH | Ant | 20 | 125 | 20 | 16 | Camel | 20 | 339 | 13 | 3.83 | Poi | 20 | 237 | 141 | 59.49 | Tomcat | 20 | 858 | 77 | 8.97 | Velocity | 20 | 196 | 147 | 75 | Xalan | 20 | 723 | 110 | 15.21 | Xerces | 20 | 440 | 71 | 16.14 | Arc | 20 | 234 | 27 | 11.54 | Redktor | 20 | 176 | 27 | 15.34 |
| ReLink | Apache | 26 | 194 | 98 | 50.52 | Safe | 26 | 56 | 22 | 39.29 | ZXing | 26 | 399 | 118 | 29.57 |
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