Software defect prediction based on kernel PCA and weighted extreme learning machine

Keyphrases

• Prediction Method 100%
• Kernel Principal Component Analysis 100%
• Software Defect Prediction 100%
• Weighted Regularized Extreme Learning Machine (WRELM) 100%
• Defect Prediction 75%
• Prediction Framework 50%
• Feature Extraction 25%
• Complex Structure 25%
• Nonlinear Mapping 25%
• Historical Data 25%
• Software Reliability 25%
• Defect-Prone 25%
• Defect Detection 25%
• Feature Selection Methods 25%
• Software Project 25%
• Software Module 25%
• Class Imbalance 25%
• Defect Data 25%
• Latent Feature Space 25%
• Imbalanced Learning 25%
• Software Defect 25%
• Imbalanced Class Distribution 25%
• Basic Classifier 25%
• Feature Class 25%
• Class Imbalance Issue 25%
• Test Resource Allocation 25%
• NASA Dataset 25%
• Learning Methods 25%

Computer Science

• Defect Prediction 100%
• Software Defect 100%
• Extreme Learning Machine 100%
• Principal Components 50%
• Component Analysis 50%
• Prediction Model 33%
• Prediction Framework 33%
• Baseline Method 33%
• Class Imbalance 33%
• Historical Data 16%
• Feature Space 16%
• Software Project 16%
• Feature Selection 16%
• Software Module 16%
• Complex Structure 16%
• Analysis Technique 16%
• Experimental Result 16%
• Class Distribution 16%
• Nonlinear Mapping 16%
• Feature Extraction 16%
• Resource Allocation 16%