图 书 馆
用图挖掘改进软件故障检测Improved Software Fault Detection with Graph Mining |
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| 课程网址: | http://videolectures.net/mlg08_eichinger_isfd/ |
| 主讲教师: | Frank Eichinger |
| 开课单位: | 卡尔斯鲁厄大学 |
| 开课时间: | 2008-08-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This work addresses the problem of discovering bugs in software development. We investigate the utilization of call graphs of program executions and graph mining algorithms to approach this problem. We propose a novel reduction technique for call graphs which introduces edge weights. Then, we present an analysis technique for such weighted call graphs based on graph mining and on traditional feature selection. Our new approach finds bugs which could not be detected so far. With regard to bugs which can already be localized, our technique also doubles the precision of finding them. |
| 关 键 词: | 调用图; 图挖掘算法; 加权调用图 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-06-30：cjy |
| 阅读次数: | 21 |