The use of machine learning with signal- and NLP processing of source code to detect and classify vulnerabilities and weaknesses with MARFCAT

We present a machine learning approach to static code analysis for weaknesses related to security and others with the open-source MARF framework and its application to for the NIST's SATE 2010 static analysis tool exhibition workshop.