Accession Number:

AD1043714

Title:

Source-Code Stylometry Improvements in Python

Descriptive Note:

Technical Report,15 Sep 2017,31 Oct 2017

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD ABERDEEN PROVING GROUND United States

Personal Author(s):

• Shearer,Gregory
• Nelson,Frederica

Report Date:

2017-12-14

Pagination or Media Count:

18.0

Abstract:

This technical note covers the work in rewriting existing source-code stylometry software into Python, and describes improvements to performance and maintainability and validation of results. Source-code stylometry is the process of attributing the authorship of source-code samples based on lexical, layout, and syntactic features extracted from code using machine-learning techniques, specifically random forest classifiers. The original work was conducted as part of a collaboration between the US Army Research Laboratory and Drexel University.

Descriptors:

• PYTHON PROGRAMMING LANGUAGE
• COMPUTER PROGRAMS
• MACHINE LEARNING
• data processing

Subject Categories:

• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE