%0 Journal Article
%T Approach to automatic analysis for relevance among software bug reports<br>自动分析软件缺陷报告间相关性的方法研究*
%A LI Nan
%A WANG Xiao-bo
%A LIU Chao
%A <br>李楠
%A 王晓博
%A 刘超
%J 计算机应用研究
%D 2010
%I 
%X The approaches to the relevance analysis of bug reports were studed based on natural language processing technology, but the precision and recall were hard to improve. The paper proposed the new approach based on both of structure information (including patches, exception stack and code fragments). With these information, the relevance of bug reports detected by using the similarity analysis of the structure and text information. It used 1 000 bug reports form Eclipse to test, and the experimental result sh...
%K related bug reports
%K structure information
%K similarity<br>相关缺陷报告
%K 结构化信息
%K 相似度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=0089233C1D0546B008EA38ABA3C2E766&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=93C927FBCA96CB53&eid=5E3A696E84245F10&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=24