Software Defect Prediction via Attention-Based Recurrent Neural Network

Table 6

AUC comparison of different models.

Project	DP-ARNN	RF	RBM + RF	DBM + RF	CNN	RNN
Camel	0.790	0.677	0.674	0.654	0.732	0.766
Lucene	0.680	0.641	0.679	0.682	0.688	0.693
Poi	0.796	0.636	0.657	0.668	0.745	0.764
Xerces	0.761	0.576	0.579	0.560	0.671	0.730
Jedit	0.820	0.797	0.797	0.794	0.841	0.842
Xalan	0.674	0.674	0.676	0.676	0.674	0.654
Synapse	0.645	0.682	0.646	0.657	0.632	0.648
W/T/L		5/1/1	5/0/2	4/0/3	4/1/2	4/0/3
Average	0.738	0.669	0.673	0.670	0.712	0.728