automatic bug triage using semi-supervised text classification
文献类型：会议论文
| 作者 | Xuan Jifeng ; Jiang He ; Ren Zhilei ; Yan Jun ; Luo Zhongxuan |
| 出版日期 | 2010 |
| 会议名称 | 22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010 |
| 会议日期 | 44013 |
| 会议地点 | Redwood City, CA, United states |
| 关键词 | Knowledge engineering Locomotives Maximum principle Optimization Railroad cars Software engineering |
| 页码 | 209-214 |
| 英文摘要 | In this paper, we propose a semi-supervised text classification approach for bug triage to avoid the deficiency of labeled bug reports in existing supervised approaches. This new approach combines naive Bayes classifier and expectationmaximization to take advantage of both labeled and unlabeled bug reports. This approach trains a classifier with a fraction of labeled bug reports. Then the approach iteratively labels numerous unlabeled bug reports and trains a new classifier with labels of all the bug reports. We also employ a weighted recommendation list to boost the performance by imposing the weights of multiple developers in training the classifier. Experimental results on bug reports of Eclipse show that our new approach outperforms existing supervised approaches in terms of classification accuracy. |
| 收录类别 | EI |
| 会议主办者 | Knowledge Systems Institute Graduate School |
| 会议录 | SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering
 |
| 会议录出版地 | United States |
| 语种 | 英语 |
| ISBN号 | 1891706268 |
| 源URL | [http://124.16.136.157/handle/311060/8674]  |
| 专题 | 软件研究所_软件所图书馆_2010软件所会议论文 |
| 推荐引用方式 GB/T 7714 | Xuan Jifeng,Jiang He,Ren Zhilei,et al. automatic bug triage using semi-supervised text classification[C]. 见:22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010. Redwood City, CA, United states. 44013. |
入库方式： OAI收割
来源：软件研究所
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