Institutional Repository
| predicting upgrade project defects based on enhancement requirements: an empirical study | |
| He Lei; Li Juan; Wang Qing; Yang Ye | |
| 2009 | |
| Conference Name | International Conference on Software Process |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 268-279 |
| Conference Date | MAY 16-17, |
| Conference Place | Vancouver, CANADA |
| Indexed Type | 其他 |
| Publish Place | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| Publisher | TRUSTWORTHY SOFTWARE DEVELOPMENT PROCESSES, PROCEEDINGS |
| ISSN | 0302-9743 |
| ISBN | 978-3-642-01679-0 |
| Department | He, Lei; Li, Juan; Wang, Qing; Yang, Ye Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China. |
| English Abstract | 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. |
| Keyword | Defect Prediction |
| Sponsorship | Chinese Acad Sci, ISCAS Lab Internet Software Technologies |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8376 |
| Collection | 互联网软件技术实验室 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2009-何磊-ICSP-Predict（351KB） | 开放获取 | -- | Application Full Text | |||
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