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MSR
2010
ACM

Predicting the severity of a reported bug

13 years 8 months ago
Predicting the severity of a reported bug
—The severity of a reported bug is a critical factor in deciding how soon it needs to be fixed. Unfortunately, while clear guidelines exist on how to assign the severity of a bug, it remains an inherent manual process left to the person reporting the bug. In this paper we investigate whether we can accurately predict the severity of a reported bug by analyzing its textual description using text mining algorithms. Based on three cases drawn from the open-source community (Mozilla, Eclipse and GNOME), we conclude that given a training set of sufficient size (approximately 500 reports per severity), it is possible to predict the severity with a reasonable accuracy (both precision and recall vary between 0.65-0.75 with Mozilla and Eclipse; 0.70-0.85 in the case of GNOME).
Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart
Added 10 Jul 2010
Updated 10 Jul 2010
Type Conference
Year 2010
Where MSR
Authors Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals
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