defect prediction

Predicting defect densities in source code files with decision tree learners

Submitted by msquire on Thu, 2011-04-14 14:58
P. Knab, Pinzger, M., and Bernstein, A., “Predicting defect densities in source code files with decision tree learners”, in Proceedings of the 2006 international workshop on Mining software repositories, New York, NY, USA, 2006, pp. 119–125.
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Mozilla
source code
scm
defect prediction
prediction
version control
change analysis
data mining
decision tree learner
defect density
release history

An initial study of the growth of eclipse defects

Submitted by msquire on Wed, 2011-04-13 14:33
H. Zhang, “An initial study of the growth of eclipse defects”, in Proceedings of the 2008 international working conference on Mining software repositories, New York, NY, USA, 2008, pp. 141–144.
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eclipse
defect prediction
msr challenge
bug reports
defect growth model
polynomial regression

Tracking concept drift of software projects using defect prediction quality

Submitted by msquire on Wed, 2011-04-13 08:33
J. Ekanayake, Tappolet, J., Gall, H. C., and Bernstein, A., “Tracking concept drift of software projects using defect prediction quality”, in 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories, Vancouver, BC, Canada, 2009, pp. 51 - 60.
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Mozilla
eclipse
defect prediction
openoffice
netbeans
cvs
bugzilla