Predicting Eclipse Bug Lifetimes

TitlePredicting Eclipse Bug Lifetimes
Publication TypeConference Paper
Year of Publication2007
AuthorsPanjer, LD
Secondary TitleFourth International Workshop on Mining Software RepositoriesFourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)
Pagination29 - 29
Place PublishedMinneapolis, MN, USA
ISBN Number0-7695-2950-X
Keywordsbug fixing, bugzilla, classification, eclipse, effort estimation, mining challenge, msr challenge, prediction, weka

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.

Full Text
PDF icon 28300029.pdf197.05 KB