文章基本信息

标题：Software Bug Classification using Suffix Tree Clustering (STC) Algorithm
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作者：Naresh Kumar Nagwani ; Dr. Shrish Verma
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：1
出版社：Ayushmaan Technologies
摘要：Suffix Tree Clustering (STC) is one of the popular text clustering algorithms. STC has number of applications and the most popular is web document clustering. Software bug data contains number of attributes like bug-id, summary (title), description, comments, status, version etc. Most of the important attributes holds text data. Since the software bug repositories are consist of most the data in the form of text, STC can be applied to create the clusters of software bug record. In this paper STC algorithm is used for software bug classification. First clusters are created from the bug repositories and then labels are assigned to the each cluster, which indicates the classes of the clusters. STC implementation is available as the part of Carrot2 framework. The designed technique is evaluated using the common clustering parameters.
关键词：Software Bug Classification; STC Clustering; Bug Clustering;Software Bug Repository.e