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predicting upgrade project defects based on enhancement requirements: an empirical study
He Lei; Li Juan; Wang Qing; Yang Ye
2009
会议名称International Conference on Software Process
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码268-279
会议日期MAY 16-17,
会议地点Vancouver, CANADA
收录类别其他
出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者TRUSTWORTHY SOFTWARE DEVELOPMENT PROCESSES, PROCEEDINGS
ISSN0302-9743
ISBN978-3-642-01679-0
部门归属He, Lei; Li, Juan; Wang, Qing; Yang, Ye Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China.
摘要In upgrade project development, Enhancement Requirements (ER, e.g. requirement additions and modifications) introduce new defects to the project. We need to evaluate this impact to help plan later project schedule and resources. Typically, many of the existing prediction technologies estimate defects based on software size or process performance baselines. However, they are limited in estimating the impact of ER on product quality. This paper proposes a novel ER-based defect prediction method using information retrieval (IR) technique and support vector machines (SVM). We analyze the historical data of defects and requirement specifications of actual upgrade projects to establish multiple prediction models to estimate new defects introduced by ER. Then we design two experiments to validate the method and report some preliminary results. The results indicate that our method can provide useful support for impact analysis of requirement evolution in upgrade projects.
关键词Defect Prediction
主办者Chinese Acad Sci, ISCAS Lab Internet Software Technologies
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8376
专题互联网软件技术实验室
推荐引用方式
GB/T 7714
He Lei,Li Juan,Wang Qing,et al. predicting upgrade project defects based on enhancement requirements: an empirical study[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:TRUSTWORTHY SOFTWARE DEVELOPMENT PROCESSES, PROCEEDINGS,2009:268-279.
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