Research Article
Balanced Adversarial Tight Matching for Cross-Project Defect Prediction
Table 9
Ablation study on the metric of AUC.
| Target project | No-HF | No-MC | No-MDD | BATM |
| Ant | 0.781 | 0.736 | 0.775 | 0.801 | Camel | 0.653 | 0.628 | 0.639 | 0.678 | Forrest | 0.392 | 0.283 | 0.437 | 0.48 | Ivy | 0.856 | 0.765 | 0.817 | 0.869 | Log4j | 0.516 | 0.447 | 0.496 | 0.526 | Lucene | 0.638 | 0.616 | 0.639 | 0.672 | Poi | 0.676 | 0.654 | 0.663 | 0.705 | Synapse | 0.728 | 0.706 | 0.723 | 0.775 | Velocity | 0.648 | 0.621 | 0.635 | 0.736 | Xalan | 0.699 | 0.687 | 0.705 | 0.743 | Xerces | 0.618 | 0.568 | 0.601 | 0.689 | Average | 0.652 | 0.611 | 0.648 | 0.698 | Improvement | 6.56% | 14.2% | 7.71% | ā | p-Value | 0.003 | 0.003 | 0.003 | ā |
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