A proposed approach to build an automated software security assessment framework using mined patterns and metrics

Keyphrases

• Automated Framework 40%
• Automated Software 100%
• Building Security 20%
• Code Segments 20%
• Consecutive Study 20%
• Cross Project Validation 20%
• Feedback-based 20%
• Generalized Predictor 20%
• Generic Patterns 20%
• Graph Algorithms 20%
• Java Method 40%
• Lines of Code 20%
• Nanopatterning 80%
• Pattern Metrics 40%
• Physical Characteristics 20%
• Prediction Model 20%
• Secure Code 20%
• Security Assessment Framework 100%
• Security Level 80%
• Software Metrics 80%
• Software Reliability 20%
• Software Security 100%
• Software Vulnerability 20%
• Source Code 20%
• Specific Properties 20%
• Text Mining Techniques 20%
• Traceable Pattern 20%
• Vulnerability 20%
• Vulnerability Detection 20%
• Vulnerability Prediction 40%

Computer Science

• Generic Pattern 20%
• Graph Algorithms 20%
• Lines of Code 20%
• Physical Characteristic 20%
• Prediction Model 20%
• Research Results 20%
• Secure Code 20%
• Security Assessment 100%
• security level 80%
• Software Metric 80%
• Software Security 100%
• Text Mining 20%