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Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models.

, , and . Empirical Software Engineering, 13 (5): 539-559 (2008)

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On the use of calling structure information to improve fault prediction., , , and . Empirical Software Engineering, 17 (4-5): 390-423 (2012)Advances in Collaborative Filtering., and . Recommender Systems Handbook, Springer, (2015)Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup., , and . SIGKDD Explor., 8 (2): 47-52 (2006)Mining Customer Care Dialogs for "Daily News"., , , , , , and . IEEE Trans. Speech Audio Process., 13 (5-1): 652-660 (2005)Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models., , and . Empirical Software Engineering, 13 (5): 539-559 (2008)Using Developer Information as a Factor for Fault Prediction., , and . PROMISE@ICSE, page 8. IEEE Computer Society, (2007)Does calling structure information improve the accuracy of fault prediction?, , , and . MSR, page 61-70. IEEE Computer Society, (2009)Defection detection: using activity profiles to predict ISP customer vulnerability., , and . KDD, page 506-515. ACM, (2000)Mining customer care dialogs for "daily news"., , , , , , and . INTERSPEECH, page 225-228. ISCA, (2004)The limited impact of individual developer data on software defect prediction., , and . Empirical Software Engineering, 18 (3): 478-505 (2013)