【摘要】 数据驱动的软件缺陷预测是提高软件测试效率、保证软件可靠性的重要途径之一,近几年已成为实证软件工程的研究热点.首先介绍了数据驱动软件缺陷预测的研究背景;然后总结了已有软件缺陷数据属性度量方法的特点,并按照软件开发中缺陷预测的使用场景,以数据来源为主线从基于版本内数据、跨版本数据和跨项目数据实现缺陷预测三个方面对近10年(2005~2015)已有的研究工作进行分类归纳和比较;最后对该领域未来的研究趋势进行了展望.更多还原

【Abstract】 Data driven software defects prediction is considered as an effective means for the optimization of quality assurance activities. This paper tries to survey the studies of data driven software defects prediction from 2005 to 2015. First,it briefly introduces the research background in this field. Then, it summarizes and analyzes the software modules attribute metrics in detail,and thoroughly surveys the state-of-the-art methods of data driven software defects prediction. The discussed topics include within-release,cross-release and cross-project defects prediction. Finally, the potential research directions in the field are discussed.更多还原