Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The use of machine learning with signal- and NLP processing of source
  code to fingerprint, detect, and classify vulnerabilities and weaknesses with
  MARFCAT   We present a machine learning approach to static code analysis and
fingerprinting for weaknesses related to security, software engineering, and
others using the open-source MARF framework and the MARFCAT application based
on it for the NIST's SATE2010 static analysis tool exposition workshop found at
http://samate.nist.gov/SATE2010Workshop.html

19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn