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《Acta Electronica Sinica》 2017-04
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Survey on Data Driven Software Defects Prediction

LI Yong;HUANG Zhi-qiu;WANG Yong;FANG Bing-wu;College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics;Key Laboratory of Network Information Security and Public Opinion Analysis,Xinjiang Normal University;  
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.
【Fund】: 国家自然科学基金(No.61562087 No.61272083);; 江苏省普通高校研究生科研创新计划(No.CXLX13-160);; 中央高校基本科研业务费专项项目
【CateGory Index】: TP311.53
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