by Nicolas Bettenburg · Rahul Premraj · Thomas Zimmermann · Sunghun Kim at MSR ’08
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.
Talk at MSR 2008 by Nicolas Bettenburg
Reference
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[2008,inproceedings] bibtexN. Bettenburg, R. Premraj, T. Zimmermann, and S. Kim, "Extracting Structural Information from Bug Reports," in MSR ’08: Proceedings of the 5th Working Conference on Mining Software Repositories, New York, USA, 2008, pp. 27-30.
@inproceedings{bettenburg:msr:2008, Address = {New York, USA},
Author = {Bettenburg, Nicolas and Premraj, Rahul and Zimmermann, Thomas and Kim, Sunghun},
Booktitle = {MSR '08: Proceedings of the 5th Working Conference on Mining Software Repositories},
Pages = {27--30},
Publisher = {ACM},
Title = {Extracting Structural Information from Bug Reports},
Year = {2008}
}
Where can we find InfoZilla ?
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