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

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Training set</td><td class="align_center">Prediction set</td><td class="align_center">Result code</td></tr><tr><td class="align_left" colspan="3"><hr/></td></tr><tr><td class="align_left">V1.01</td><td class="align_center">V1.02</td><td class="align_center">A1-2</td></tr><tr><td class="align_left">V1.01</td><td class="align_center">V1.03</td><td class="align_center">A1-3</td></tr><tr><td class="align_left">V1.02</td><td class="align_center">V1.03</td><td class="align_center">A2-3</td></tr><tr><td class="align_left">V1.01+V1.02</td><td class="align_center">V1.03</td><td class="align_center">A1-2-3</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Defect Prediction Technology of Aerospace Software Based on Deep Neural Network and Process Measurement 