Statistical and Machine Learning Methods for Software Fault Prediction Using CK Metric Suite: A Comparative Analysis

Table 13

Precision, correctness, completeness, and accuracy for three versions of AIF.

	Precision (%)			Correctness (%)			Completeness (%)			Accuracy (%)
	ver 1.2	ver 1.4	ver 1.6	ver 1.2	ver 1.4	ver 1.6	ver 1.2	ver 1.4	ver 1.6	ver 1.2	ver 1.4	ver 1.6
WMC	61.11	41.17	57.14	61.11	41.17	57.14	5.09	4.82	4.25	66.13	84.02	81.71
DIT	—	—	—	—	—	—	0	0	0	64.47	83.37	80.51
NOC	75	75	66.66	75	75	66.66	5.55	2.06	5.31	65.78	83.6	81.03
CBO	60	57.14	77.77	60	57.14	77.77	2.77	2.75	3.72	64.8	83.48	81.03
RFC	66.66	36.36	50	66.66	36.36	50	4.62	2.75	2.12	65.29	83.02	80.51
LCOM	66.66	50	60	0.66	0.5	0.6	2.77	6.8	1.59	64.96	83.37	80.62
MULTI	68.75	50	61.53	68.75	50	61.53	10.18	7.58	8.51	66.44	83.37	81.13