Title of Paper:Survey on Data Driven Software Defects Prediction

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Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:Tien Tzu Hsueh Pao

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. © 2017, Chinese Institute of Electronics. All right reserved.

ISSN No.:0372-2112

Translation or Not:no

Date of Publication:2017-04-01

Co-author:Huang ZhiQiu,wyl,Fang, Bing-Wu

Correspondence Author:李勇