Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

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Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

Effective software defect prediction is a crucial aspect of software quality assurance, enabling the identification of defective modules before the testing phase. This study aims to propose a comprehensive five-stage framework for software defect prediction, addressing the current challenges in the...

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Bibliographic Details
Published in:	PeerJ Computer Science
Main Author:	Ali M.; Mazhar T.; Al-Rasheed A.; Shahzad T.; Ghadi Y.Y.; Khan M.A.
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190276232&doi=10.7717%2fpeerj-cs.1860&partnerID=40&md5=2d75fed0160d49f179045f7ff813eafc

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