Impact of Optimal Feature Selection Using Hybrid Method for a Multiclass Problem in Cross Project Defect Prediction

The objective of cross-project defect prediction (CPDP) is to develop a model that trains bugs on current source projects and predicts defects of target projects. Due to the complexity of projects, CPDP is a challenging task, and the precision estimated is not always trustworthy. Our goal is to pred...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Abeer Jalil, Rizwan Bin Faiz, Sultan Alyahya, Mohamed Maddeh
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Subjects:	hyper-parameter tuning cross project defect prediction (CPDP) generative adversarial networks (GAN) hybrid feature selection (HFS)
Online Access:	https://www.mdpi.com/2076-3417/12/23/12167