Developing a Machine Learning-Based Software Fault Prediction Model Using the Improved Whale Optimization Algorithm-Reference-Cited by-同舟云学术

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Developing a Machine Learning-Based Software Fault Prediction Model Using the Improved Whale Optimization Algorithm

Published:2023-11-21 Issue: Volume:51 Page:334
ISSN:
Container-title:The 4th International Electronic Conference on Applied Sciences
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Author:

Abubakar Hauwa¹,Umar Kabir²,Auwal Rukayya¹,Muhammad Kabir¹,Yusuf Lawan³

Affiliation:

1. Department of Computer Science, Faculty of Computing, Bayero University, Kano 700006, Nigeria

2. Department of Software Engineering, Faculty of Computing, Bayero University, Kano 700006, Nigeria

3. Department of Information and Communication Technology, Directorate of Examination and Assessments, National Open University of Nigeria, Abuja 900001, Nigeria

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/56/1/334/pdf

Reference14 articles.

1. A study on software fault prediction techniques;Rathore;Artif. Intell. Rev.,2019

2. Singh, P.D., and Chug, A. (2017, January 12–13). Software defect prediction analysis using machine learning algorithms. Proceedings of the 2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, Noida, India.

3. Feature selection in machine learning: A new perspective;Cai;Neurocomputing,2018

4. Boosted whale optimization algorithm with natural selection operators for software fault prediction;Hassouneh;IEEE Access,2021

5. An enhanced associative learning-based exploratory whale optimizer for global optimization;Heidari;Neural Comput. Appl.,2020

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