国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The excess measure properties for aerospace-software module defect prediction have affected the efficiency and accuracy of classification model and make it difficult to collect data. Based on the MDP data sets announced by NADA, an attribute selection algorithm is designed based on Logistic Regression Model. By applied to the six data sets, four attributes which have great impact on aerospace-software are selected. Then the four attributes are applied on 12 software of MDP, and the results prove the validity of the designed attribute selection algorithm, and the four attributes can provide reference and basis for the measure of the current aerospace software.