Extracting Structural Information from Bug Reports – MSR 2008

by Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim

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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See also: http://www.softevo.org/

Presentation

Reference

Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim. Extracting Structural Information from Bug Reports. In Proceedings of the Fifth International Working Conference on Mining Software Repositories (MSR 2008), Leipzig, Germany, May 2008.

BibTeX Entry

@inproceedings{bettenburg-msr-2008,
    title = "Extracting Structural Information from Bug Reports",
    author = "Nicolas Bettenburg and Rahul Premraj and Thomas Zimmermann and Sunghun Kim",
    year = "2008",
    month = "May",
    booktitle = "Proceedings of the Fifth International Working Conference on Mining Software Repositories",
    location = "Leipzig, Germany",
}