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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Κύριοι συγγραφείς:	Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2021-01-01
Σειρά:	IEEE Access
Θέματα:	Software fault prediction feature selection binary whale optimization algorithm adaptive synthetic sampling classification
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/9326421/
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