文章基本信息

标题：Effective Bug Detection Using Data Reduction Techniques
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作者：Javyant Devare ; Divya Prakash ; Chandrakant Tiwari 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：3
页码：3322
DOI：10.15680/IJIRCCE.2016.0403067
出版社：S&S Publications
摘要：In today'sworld Bug issues are a major problem which concerns the software company. The companies spent huge chunks of currency and time in overcoming these problems , we extract attributes from historical bug data sets and build a predictive model for a new bug data set and which can detect all di.erent bugs and can list them or prioritize them. These can prove to be a great help to these companies because this way it is easy for them to list and minimize these bugs. Using mining techniques we create a model by leveraging data mining techniques, mining software repositories can uncover interesting information in software repositories. Maintain these repositories, we can detect the bug e.ciently
关键词：Bug Detection; Data Mining; Bug Tracking System; Data Reduction;Entropys priorities