Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction

Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction

Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free of faults. In general, soft computing and machine learning methods are useful in tackling this problem. The size of fault data is usually huge...

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Bibliographic Details
Main Authors: Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Software fault prediction
feature selection
binary whale optimization algorithm
adaptive synthetic sampling
classification
Online Access:https://ieeexplore.ieee.org/document/9326421/

Internet

https://ieeexplore.ieee.org/document/9326421/

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