@inproceedings{paper:weis:2007,
	title = {How Long will it Take to Fix This Bug?},
	author = {Cathrin Weiss and Rahul Premraj and Thomas Zimmermann and Andreas Zeller},
	booktitle = {Proceedings of the Fourth International Workshop on Mining Software Repositories},
	editor = {Harald Gall and Michele Lanza},
	month = {May},
	note = {predicting time and effort of fixing a bug based on evaluations with the eclipse bugzilla dataset},
	url = {http://www.st.cs.uni-sb.de/publications/files/weiss-msr-2007.pdf},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/29bf587447d9e1a671be67c4cd5b2cc55/mschuber},
	abstract = {Predicting the time and effort for a software problem has
long been a difficult task. We present an approach that automatically
predicts the fixing effort, i.e., the person-hours
spent on fixing an issue. Our technique leverages existing
issue tracking systems: given a new issue report, we use
the Lucene framework to search for similar, earlier reports
and use their average time as a prediction. Our approach
thus allows for early effort estimation, helping in assigning
issues and scheduling stable releases. We evaluated our
approach using effort data from the JBoss project. Given
a sufficient number of issues reports, our automatic predictions
are close to the actual effort; for issues that are bugs,
we are off by only one hour, beating na¨ıve predictions by a
factor of four.},
	keywords = {bug eclipse fix }
}