EDSVM-based software defect data association classification method

The invention relates to an EDSVM-based software defect data association classification method. The method includes the following steps that: step 1, data are acquired from a software data set, and the data are preprocessed; the data are divided into a training set and a test set according to a set proportion; step 2, a classifier is constructed, the construction of the classifier involves rule generation and rule sequencing; and step 3, and classification prediction is carried out based on an EDSVM according to rule matching fruitlessness and rule matching overflow. With the method of the invention adopted, more subclass rules can be generated for software defect imbalance training data; and the priorities of the subclass rules can be effectively improved, and therefore, the classification performance of software defect imbalance data can be improved. 种结合EDSVM的软件缺陷数据关联分类方法，包括以下步骤：步骤1：从软件数据集中获取数据，并对数据进行预处理；将数据按照设定比例划分为训练集和测试集；步骤2：构造分类器，包括规则生成、规则排序；步骤3：针对规则匹配无果和规则匹配溢出问题，结合EDSVM进行分类预测，本发明在软件缺陷不平衡训练数据上能产生更多的小类规则