An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction-Reference-Cited by-同舟云学术

An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction

Published:2022 Issue: Volume: Page:594-610
ISSN:2367-3370
Container-title:Software Engineering Perspectives in Systems
language:
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Author:

Odejide Babajide J.,Bajeh Amos O.,Balogun Abdullateef O.,Alanamu Zubair O.,Adewole Kayode S.,Akintola Abimbola G.,Salihu Shakirat A.,Usman-Hamza Fatima E.,Mojeed Hammed A.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09070-7_49

Reference58 articles.

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3. Huda, S., et al.: An ensemble oversampling model for class imbalance problem in software defect prediction. IEEE Access 6, 24184–24195 (2018)

4. Balogun, A.O., et al.: A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction. Comput. Intell. Neurosci. 2021 (2021). https://doi.org/10.1155/2021/5069016

5. Advances in Intelligent Systems and Computing;H Alsawalqah,2017

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