首页|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)
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
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
Virtual University of PakistanLahorePakistanAsiaCyborgsEmerging TechnologiesMachine LearningSoftware
NETL
NSTL
