针对重复bug报告的多特征模型检测解决方案

Phuc Minh Nhan, Thien Hoang Duy Nguyen
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引用次数: 0

摘要

对于开源软件,如Firefox, Eclipse, Subversion,…他们通常有一个由用户发送的bug管理系统。这些bug报告可以帮助系统识别各种软件bug,从而更好地进行软件维护。但是,会出现这样一种情况,即有许多错误报告发送到处理存储库,而这些错误报告以前是由不同的用户报告的,这种情况称为重复错误报告。在本文中,我们引入了一种多特征模型,结合CFC (ClassFeature-Centroid)的加权改进来自动检测重复的bug报告。我们在Mozilla、Eclipse和OpenOffice三个项目上进行了实验。实验结果表明,该方法比其他方法提高了8-12%。
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MULTI-FEATURE MODEL FOR DUPLICATE BUG REPORTS DETECTION SOLUTION
For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to  the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomatically. We have experimented on three projects of Mozilla, Eclipse and OpenOffice. The results show that our method can improve 8-12% better as compared to the compared methods.
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