Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems-Reference-Cited by-同舟云学术

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Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems

Published:2017-03 Issue: Volume:119 Page:232-256
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Rathore Santosh Singh,Kumar Sandeep

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference75 articles.

1. Implications of ceiling effects in defect predictors;Menzies,2008

2. Simplifying decision trees;Quinlan;Int. J. Man Mach. Stud.,1987

3. An empirical study of the naive Bayes classifier;Rish,2001

4. An Introduction to Statistical Learning;James,2013

5. Support vector clustering;Ben-Hur;J. Mach. Learn. Res.,2002

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