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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Bibliographic Details

Published in:	Tạp chí Khoa học và Công nghe pp. 43 - 48
Main Authors:	Phuong, Ha Thi Minh, Duy, Dao Khanh, Nhu, Nguyen Do Anh, Ha, Hoang Thi Thanh
Format:	Journal Article
Language:	English
Published:	The University of Danang 30.09.2025
Subjects:	bughunter dataset machine learning software fault prediction zebra optimization algorithm
ISSN:	1859-1531
Online Access:	Get full text
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