Periodic developer metrics in software defect prediction

Keyphrases

• Defect Prediction 100%
• Software Defect Prediction 100%
• Developer Metrics 100%
• Churn Metric 60%
• Developer Experience 60%
• Source File 40%
• Software Defect 40%
• File-level 40%
• Contextual Knowledge 40%
• Machine Learning Algorithms 20%
• Evaluation Model 20%
• Feature Selection Methods 20%
• Precision-recall 20%
• F-measure 20%
• False Positive Rate 20%
• Activity-dependent 20%
• Encoding Method 20%
• Prediction Studies 20%
• Open Source Project 20%
• Data-driven Approach 20%
• Commit Activity 20%
• Code-based 20%
• Granularity Level 20%
• Rate Measures 20%
• Churn 20%
• Metric Types 20%
• Developer Knowledge 20%
• Coding Skills 20%
• Jackrabbit 20%
• Lucene 20%
• Correlation-based Feature Selection 20%
• Source Module 20%
• Code Ownership 20%
• People Factors 20%
• Popular 20%

Computer Science

• Defect Prediction 100%
• Software Defect 100%
• Machine Learning Algorithm 16%
• Feature Selection 16%
• Evaluation Models 16%
• False Positive Rate 16%
• Open Source Project 16%
• Driven Approach 16%
• Granularity Level 16%