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an investigation on the feasibility of cross-project defect prediction
文献类型：期刊论文
| 作者 | He Zhimin ; Shu Fengdi ; Yang Ye ; Li Mingshu ; Wang Qing |
| 刊名 | Automated Software Engineering
 |
| 出版日期 | 2011 |
| 期号 | 1页码:1-33 |
| 关键词 | Data reduction Defects Experiments Software testing |
| ISSN号 | 9288910 |
| 英文摘要 | Software defect prediction helps to optimize testing resources allocation by identifying defect-prone modules prior to testing. Most existing models build their prediction capability based on a set of historical data, presumably from the same or similar project settings as those under prediction. However, such historical data is not always available in practice. One potential way of predicting defects in projects without historical data is to learn predictors from data of other projects. This paper investigates defect predictions in the cross-project context focusing on the selection of training data. We conduct three large-scale experiments on 34 data sets obtained from 10 open source projects. Major conclusions from our experiments include: (1) in the best cases, training data from other projects can provide better prediction results than training data from the same project; (2) the prediction results obtained using training data from other projects meet our criteria for acceptance on the average level, defects in 18 out of 34 cases were predicted at a Recall greater than 70% and a Precision greater than 50%; (3) results of cross-project defect predictions are related with the distributional characteristics of data sets which are valuable for training data selection. We further propose an approach to automatically select suitable training data for projects without historical data. Prediction results provided by the training data selected by using our approach are comparable with those provided by training data from the same project. © 2011 Springer Science+Business Media, LLC. |
| WOS记录号 | WOS:000298798700003 |
| 公开日期 | 2011-10-10 |
| 源URL | [http://124.16.136.157/handle/311060/14067]  |
| 专题 | 软件研究所_互联网软件技术实验室 _期刊论文 |
| 推荐引用方式 GB/T 7714 | He Zhimin,Shu Fengdi,Yang Ye,et al. an investigation on the feasibility of cross-project defect prediction[J]. Automated Software Engineering,2011(1):1-33. |
| APA | He Zhimin,Shu Fengdi,Yang Ye,Li Mingshu,&Wang Qing.(2011).an investigation on the feasibility of cross-project defect prediction.Automated Software Engineering(1),1-33. |
| MLA | He Zhimin,et al."an investigation on the feasibility of cross-project defect prediction".Automated Software Engineering .1(2011):1-33. |
入库方式： OAI收割
来源：软件研究所
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