Genetic algorithm-based oversampling approach to prune the class imbalance issue in software defect prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06112-6.pdf
Reference63 articles.
1. Arun C, Lakshmi C (2020) Class imbalance in software fault prediction data set. In: Artificial intelligence and evolutionary computations in engineering systems. Springer, pp 745–757
2. Barua S, Islam MM, Yao X, Murase K (2014) MWMOTE-majority weighted minority oversampling technique for imbalanced data set learning. IEEE Trans Knowl Data Eng 26(2):405–425
3. Basili VR, Briand LC, Melo WL (1996) A validation of object-oriented design metrics as quality indicators. IEEE Trans Softw Eng 22(10):751–761
4. Bennin KE, Keung J, Monden A, Kamei Y, Ubayashi N (2016) Investigating the effects of balanced training and testing datasets on effort-aware fault prediction models. In: Proc IEEE 40th annu comput softw appl conf, pp 154–163
5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
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