Research Article
Research on Cross-Company Defect Prediction Method to Improve Software Security
Table 8
Sample weight setting performance analysis results.
| No. | Source | Target | AUC-MM | AUC-MMWS |
| 1 | CM1 | Ant-1.7 | 0.746 | 0.69 | 2 | MW1 | Ant-1.7 | 0.707 | 0.74 | 3 | PC1 | Ant-1.7 | 0.641 | 0.708 | 4 | PC3 | Ant-1.7 | 0.748 | 0.743 | 5 | PC4 | Ant-1.7 | 0.734 | 0.715 | 6 | CM1 | Camel-1.6 | 0.549 | 0.558 | 7 | MW1 | Camel-1.6 | 0.536 | 0.629 | 8 | PC1 | Camel-1.6 | 0.55 | 0.617 | 9 | PC3 | Camel-1.6 | 0.549 | 0.622 | 10 | PC4 | Camel-1.6 | 0.589 | 0.544 | 11 | CM1 | Ivy-2.0 | 0.761 | 0.708 | 12 | MW1 | Ivy-2.0 | 0.71 | 0.772 | 13 | PC1 | Ivy-2.0 | 0.603 | 0.769 | 14 | PC3 | Ivy-2.0 | 0.756 | 0.723 | 15 | PC4 | Ivy-2.0 | 0.729 | 0.687 | 16 | CM1 | Jedit-4.3 | 0.689 | 0.711 | 17 | MW1 | Jedit-4.3 | 0.693 | 0.707 | 18 | PC1 | Jedit-4.3 | 0.674 | 0.743 | 19 | PC3 | Jedit-4.3 | 0.678 | 0.67 | 20 | PC4 | Jedit-4.3 | 0.7 | 0.703 | 21 | CM1 | Synapse-1.2 | 0.635 | 0.648 | 22 | MW1 | Synapse-1.2 | 0.676 | 0.667 | 23 | PC1 | Synapse-1.2 | 0.656 | 0.685 | 24 | PC3 | Synapse-1.2 | 0.665 | 0.632 | 25 | PC4 | Synapse-1.2 | 0.65 | 0.711 | 26 | CM1 | Velocity-1.6 | 0.68 | 0.663 | 27 | MW1 | Velocity-1.6 | 0.593 | 0.68 | 28 | PC1 | Velocity-1.6 | 0.599 | 0.679 | 29 | PC3 | Velocity-1.6 | 0.596 | 0.686 | 30 | PC4 | Velocity-1.6 | 0.579 | 0.67 | 31 | CM1 | Xalan-2.4 | 0.602 | 0.684 | 32 | MW1 | Xalan-2.4 | 0.611 | 0.726 | 33 | PC1 | Xalan-2.4 | 0.6 | 0.717 | 34 | PC3 | Xalan-2.4 | 0.663 | 0.716 | 35 | PC4 | Xalan-2.4 | 0.607 | 0.703 | Average | 0.65 | 0.686 |
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