A Learning-Based Bug Predicition Method for Object-Oriented Systems

Computer Science

• Feature Selection 100%
• Software Systems 100%
• Object-Oriented System 100%
• Feature Extraction 100%
• Random Decision Forest 50%
• Open Source 50%
• Collected Data 50%
• Understandability 50%
• Classification Method 50%
• Software Project 50%
• Software Developer 50%
• Machine Learning-Based Approach 50%
• Selection Process 50%
• Detection Performance 50%
• Component Analysis 50%
• Principal Components 50%

Keyphrases

• Learning-based 100%
• Error-prone 100%
• Object-oriented Systems 100%
• Software System 66%
• Selection Strategy 33%
• Learning Model 33%
• Principal Coordinate Analysis (PCoA) 33%
• Feature Selection 33%
• Detection System 33%
• Different Datasets 33%
• Classification Methods 33%
• Detection Performance 33%
• Error Rate 33%
• Software Project 33%
• Design Defects 33%
• Software Developers 33%
• Random Forest Classification 33%
• Correlation-based Feature Selection 33%
• Buggy 33%
• Test Cost 33%
• Detecting Errors 33%
• Machine Learning-based Approach 33%
• Software Tester 33%

Material Science

• Oriented System 100%