TSTSS: A two-stage training subset selection framework for cross version defect prediction

Keyphrases

• Challenging Issues 12%
• Classification Model 12%
• Cross-project Defect Prediction 100%
• Cross-version 12%
• Data Distribution 12%
• Defect Prediction 25%
• Extreme Learning Machine Classifier 12%
• Historical Data 12%
• Initial Module 12%
• Performance Prediction 37%
• Selection Framework 100%
• Selection Strategy 25%
• Sparse Modeling 12%
• Subset Selection 100%
• Two-stage Training 100%
• Weighted Regularized Extreme Learning Machine (WRELM) 12%

Computer Science

• Baseline Method 12%
• Classification Models 12%
• Data Distribution 12%
• Defect Prediction 100%
• Extreme Learning Machine 12%
• Feature Subset Selection 100%
• Historical Data 12%
• Prediction Model 25%
• Prediction Performance 37%
• Selection Method 25%