On Selection of Optimal Kernel Function for Software Defect Prediction-Reference-Cited by-同舟云学术

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On Selection of Optimal Kernel Function for Software Defect Prediction

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
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Author:

Azzeh Mohammad¹,Nassif Ali Bou²,Banitaan Shadi³

Affiliation:

1. Princess Sumaya University for Technology,Department of Data Science,Amman,Jordan

2. University of Sharjah,Department of Computer Engineering,Sharjah,UAE

3. University of Detroit Mercy,Department of Software Engineering,Detroit,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068862/10068777/10069470.pdf?arnumber=10069470

Reference51 articles.

1. Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach

2. Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction”

3. An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction

4. An Investigation of Imbalanced Ensemble Learning Methods for Cross-Project Defect Prediction

5. Transfer learning for cross-company software defect prediction

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