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 Authors:	Ali, Misbah; Mazhar, Tehseen; Al-Rasheed, Amal; Shahzad, Tariq; Ghadi, Yazeed Yasin; Khan, Muhammad Amir
Format:	Article
Language:	English
Published:	PEERJ INC 2024
Subjects:	Computer Science
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001174202200001

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