Feature selection using the zebra optimization algorithm for software fault prediction: a study on the bughunter dataset

Software fault prediction focuses on identifying software modules that are most likely to contain faults before the testing stage, helping developers allocate quality assurance resources effectively and improve system reliability. A major challenge in SFP lies in redundant and irrelevant features wi...

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Vydáno v:	Tạp chí Khoa học và Công nghe s. 43 - 48
Hlavní autoři:	Phuong, Ha Thi Minh, Duy, Dao Khanh, Nhu, Nguyen Do Anh, Ha, Hoang Thi Thanh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The University of Danang 30.09.2025
Témata:	bughunter dataset machine learning software fault prediction zebra optimization algorithm
ISSN:	1859-1531
On-line přístup:	Získat plný text
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