Research Article

Defect Prediction Technology of Aerospace Software Based on Deep Neural Network and Process Measurement

Table 3

Experimental data set.

Software projectVersion numberNumber of modulesNumber of metricsNumber of defective modulesDefect rate (%)

XX flight control softwareV1.0118373120711.26
V1.0219953121510.77
V1.0324483130812.58

XX fire control softwareV1.01597331121820.39
V1.02689831104815.19
V1.03842031140616.70

XX accused softwareV1.0130863148415.68
V1.0233173172321.79
V1.0339653151112.89