Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach

Keyphrases

• Software Metrics 100%
• Vulnerable Class 100%
• Granularity Level 100%
• Machine Learning Approach 100%
• Java Projects 100%
• Vulnerability Prediction 80%
• Vulnerability 60%
• Vulnerable Code 60%
• Class-level Metrics 60%
• Secure Code 40%
• Java-based 40%
• Different Granularity 40%
• Statistical Analysis 20%
• Performance Prediction 20%
• C + + 20%
• Challenging Tasks 20%
• Supervised Machine Learning 20%
• Machine Learning 20%
• Statistical Test 20%
• Metric Basis 20%
• Software Development Life Cycle 20%
• Machine Learning Techniques 20%
• Software Security 20%
• Apache Tomcat 20%
• Java Method 20%
• Software Vulnerability 20%
• Class Method 20%
• Class Level 20%
• Attacker 20%
• Code Component 20%
• Development Team 20%
• Java Programming 20%
• Prediction Approach 20%
• Java Classes 20%
• Open Source System 20%
• Software Evolution 20%
• Maintaining Software 20%
• Secure Software 20%
• Successive Release 20%
• Experiment-based 20%

Computer Science

• Software Metric 100%
• Granularity Level 100%
• Machine Learning Approach 100%
• Secure Code 50%
• Granularity 25%
• Machine Learning Algorithm 25%
• Software Life Cycle 25%
• Machine Learning Technique 25%
• Software Vulnerability 25%
• Apache Tomcat 25%
• Software Security 25%
• Attackers 25%
• Prediction Performance 25%
• Development Team 25%
• Software Evolution 25%
• Open Source System 25%
• Machine Learning 25%
• Learning System 25%