系统结构缺陷分层预测方法

System Architecture Defect Hierarchical Prediction

为解决缺陷预测中的缺陷分类问题,提出了分层式缺陷预测模型。通过对缺陷特征的分析建立了缺陷特征预测方法,使具有相似特征的缺陷形成相似特征缺陷簇。给出了相似特征缺陷簇间关联关系预测方法,构建了缺陷关联关系预测模型,使具有强关联关系的相似特征缺陷簇再次成簇,从而达到缺陷预测的目的。实验结果表明,在缺陷成簇密度、成簇数量及成簇客观性方面,该系统结构缺陷分层预测方法好于K-means算法。

To classify the defects, a defect hierarchical prediction model is proposed. From analyzing the defects＇ attributes, a defect attribute prediction method is built. By using this method we can make the similar attributes＇ defects together. From the analysis of the relationships among the similar attributes＇ defect clusters, the defect indicate that the system architecture defect hierarchical prediction is better than k-means especially on the cluster density, numbers and objectivity.