Robotics & Machine Learning Daily News2024,Issue(Mar.14) :78-79.

Virtual University of Pakistan Researcher Reveals New Findings on Machine Learni ng (Enhancing software defect prediction: a framework with improved feature sele ction and ensemble machine learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :78-79.

Virtual University of Pakistan Researcher Reveals New Findings on Machine Learni ng (Enhancing software defect prediction: a framework with improved feature sele ction and ensemble machine learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Lahore, Pakistan, by N ewsRx journalists, research stated, “Effective software defect prediction is a c rucial aspect of software quality assurance, enabling the identification of defe ctive modules before the testing phase. This study aims to propose a comprehensi ve five-stage framework for software defect prediction, addressing the current c hallenges in the field.” Financial supporters for this research include Princess Nourah Bint Abdulrahman University Researchers Supporting Project Number; Princess Nourah Bint Abdulrahm an University, Riyadh, Saudi Arabia.

Key words

Virtual University of Pakistan/Lahore/Pakistan/Asia/Cyborgs/Emerging Technologies/Machine Learning/Software

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文