不完全数据的软件可靠性预测

Software reliability prediction of incomplete data

针对现有处理不完全数据的填充方法,对数据集引入新的噪声这一问题,提出一种基于最大间隔理论的预测模型,直接使用含缺失特征的样本进行预测,通过实验验证该模型优于常用的填充模型。

Aiming at the phenomenon that imputation methods to deal with incomplete data will introduce additional noise,this paper proposes a novel forecast model based on max-margin principle.This method directly uses data with absent features to predict,and experimental results show that compared with imputation methods,this model is more effective in the prediction accuracy.