Extracting structural information from bug reports

TitleExtracting structural information from bug reports
Publication TypeConference Paper
Year of Publication2008
AuthorsPremraj, R, Zimmermann, T, Kim, S, Bettenburg, N
Tertiary AuthorsHassan, AE, Lanza, M, Godfrey, MW
Secondary TitleProceedings of the 2008 international workshop on Mining software repositories - MSR '08
Date Published05/2008
PublisherACM Press
Place PublishedNew York, New York, USA
ISBN Number9781605580241
Keywordsbug reports, eclipse, enumerations, infozilla, natural language, patches, source code, stack trace

In software engineering experiments, the description of bug reports is typically treated as natural language text, although it often contains stack traces, source code, and patches. Neglecting such structural elements is a loss of valuable information; structure usually leads to a better performance of machine learning approaches. In this paper, we present a tool called infoZilla that detects structural elements from bug reports with near perfect accuracy and allows us to extract them. We anticipate that infoZilla can be used to leverage data from bug reports at a different granularity level that can facilitate interesting research in the future.

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