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 exposition workshop found at http://samate.nist.gov/SATE2010Workshop.html.