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Improving change prediction with fine-grained source code mining
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Author:
Huzefa Kagdi
Kent State University, Kent, OH
Published in:
· Proceeding
ASE '07
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
ACM
New York, NY
, USA
©2007
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ISBN: 978-1-59593-882-4
doi>
10.1145/1321631.1321742
2007 Article
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· Downloads (6 Weeks): 6
· Downloads (12 Months): 35
· Citation Count: 0
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ASE'12
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documentation
documentation
experimentation
measurement
mining software repositories
software change prediction
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