Research on Cross-Company Defect Prediction Method to Improve Software Security

Table 7

Metric matching performance analysis results.

No.	Source	Target	AUC-original	AUC-MM
1	CM1	Ant-1.7	0.569	0.746
2	MW1	Ant-1.7	0.431	0.707
3	PC1	Ant-1.7	0.427	0.641
4	PC3	Ant-1.7	0.687	0.748
5	PC4	Ant-1.7	0.424	0.734
6	CM1	Camel-1.6	0.611	0.549
7	MW1	Camel-1.6	0.457	0.536
8	PC1	Camel-1.6	0.419	0.55
9	PC3	Camel-1.6	0.574	0.549
10	PC4	Camel-1.6	0.472	0.589
11	CM1	Ivy-2.0	0.569	0.761
12	MW1	Ivy-2.0	0.382	0.71
13	PC1	Ivy-2.0	0.457	0.603
14	PC3	Ivy-2.0	0.681	0.756
15	PC4	Ivy-2.0	0.467	0.729
16	CM1	Jedit-4.3	0.555	0.689
17	MW1	Jedit-4.3	0.405	0.693
18	PC1	Jedit-4.3	0.333	0.674
19	PC3	Jedit-4.3	0.656	0.678
20	PC4	Jedit-4.3	0.454	0.7
21	CM1	Synapse-1.2	0.556	0.635
22	MW1	Synapse-1.2	0.398	0.676
23	PC1	Synapse-1.2	0.45	0.656
24	PC3	Synapse-1.2	0.69	0.665
25	PC4	Synapse-1.2	0.45	0.65
26	CM1	Velocity-1.6	0.495	0.68
27	MW1	Velocity-1.6	0.371	0.593
28	PC1	Velocity-1.6	0.362	0.599
29	PC3	Velocity-1.6	0.613	0.596
30	PC4	Velocity-1.6	0.496	0.579
31	CM1	Xalan-2.4	0.583	0.602
32	MW1	Xalan-2.4	0.42	0.611
33	PC1	Xalan-2.4	0.394	0.6
34	PC3	Xalan-2.4	0.623	0.663
35	PC4	Xalan-2.4	0.437	0.607
Average			0.496	0.65