Spam Filter Based Approach for Finding Fault-Prone Software Modules

TitleSpam Filter Based Approach for Finding Fault-Prone Software Modules
Publication TypeConference Paper
Year of Publication2007
AuthorsMizuno, O, Ikami, S, Nakaichi, S, Kikuno, T
Secondary TitleFourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)
Pagination4 - 4
Place PublishedMinneapolis, MN, USA
ISBN Number0-7695-2950-X
Keywordsargouml, bug reports, classification, eclipse, java, modules, scm, spam, text mining

Because of the increase of needs for spam e-mail detection, the spam filtering technique has been improved as a convenient and effective technique for text mining. We propose a novel approach to detect fault-prone modules in a way that the source code modules are considered as text files and are applied to the spam filter directly. In order to show the applicability of our approach, we conducted experimental applications using source code repositories of Java based open source developments. The result of experiments shows that our approach can classify more than 75% of software modules correctly.

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