Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction

Table 1

Description of datasets used in this study [12].

Name of the dataset	Dataset information	Language employed	Number of instances	Number of attributes	Nondefective module	Defective module	Defect rate
CM1	NASA spacecraft instrument	C	498	22	449	49	9.83%
JM1	Real-time predictive ground system	C	10885	22	8779	2106	19.35%
KC1	Storage management for receiving and processing ground data	C++	2109	22	1783	326	15.45%
KC2	Storage management for receiving and processing ground data	C++	522	22	415	107	20.49%
PC1	Flight software; for Earth orbiting satellite	C	1109	22	1032	77	6.94%