A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction
Author:
Affiliation:
1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
2. Software Analysis and Intelligence Lab (SAIL), School of Computing, Queen's University, Kingston, ON, Canada
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Software
Link
http://xplorestaging.ieee.org/ielx7/32/10103953/09944157.pdf?arnumber=9944157
Reference84 articles.
1. Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes
2. Use of Brier score to assess binary predictions
3. Evaluating defect prediction approaches: a benchmark and an extensive comparison
4. “Why Should I Trust You?”: Explaining the Predictions of Any Classifier
5. Overlap versus Imbalance
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