Predicting Eclipse Bug Lifetimes

Submitted by msquire on Thu, 2011-04-14 13:18

Title	Predicting Eclipse Bug Lifetimes
Publication Type	Conference Paper
Year of Publication	2007
Authors	Panjer, LD
Secondary Title	Fourth International Workshop on Mining Software RepositoriesFourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)
Pagination	29 - 29
Publisher	IEEE
Place Published	Minneapolis, MN, USA
ISBN Number	0-7695-2950-X
Keywords	bug fixing, bugzilla, classification, eclipse, effort estimation, mining challenge, msr challenge, prediction, weka
Abstract	In non-trivial software development projects planning and allocation of resources is an important and difficult task. Estimation of work time to fix a bug is commonly used to support this process. This research explores the viability of using data mining tools to predict the time to fix a bug given only the basic information known at the beginning of a bug's lifetime. To address this question, a historical portion of the Eclipse Bugzilla database is used for modeling and predicting bug lifetimes. A bug history transformation process is described and several data mining models are built and tested. Interesting behaviours derived from the models are documented. The models can correctly predict up to 34.9% of the bugs into a discretized log scaled lifetime class.
DOI	10.1109/MSR.2007.25
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