Extracting Structural Information from Bug Reports - MSR 2008
by Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim

MSR '08: Proceedings of the 5th International Workshop on Mining Software Repositories, May 2008.

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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.

BibTeX Entry

    title = "Extracting Structural Information from Bug Reports",
    author = "Nicolas Bettenburg and Rahul Premraj and Thomas Zimmermann and Sunghun Kim",
    year = "2008",
    month = may,
    booktitle = "MSR '08: Proceedings of the 5th International Workshop on Mining Software Repositories",
    location = "Leipzig, Germany",

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