VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

Ontology-driven evolution of software security

(2021) Sven Peldszus et al.   DATA & KNOWLEDGE ENGINEERING

Predicting Vulnerable Software Components via Text Mining

(2014) Riccardo Scandariato et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns

(2013) Lwin Khin Shar et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Can traditional fault prediction models be used for vulnerability prediction?

(2011) Yonghee Shin et al.   EMPIRICAL SOFTWARE ENGINEERING

A Systematic Literature Review on Fault Prediction Performance in Software Engineering

(2011) T. Hall et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities

(2010) Yonghee Shin et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities

(2010) Istehad Chowdhury et al.   JOURNAL OF SYSTEMS ARCHITECTURE