Source-Code Stylometry Improvements in Python
Technical Report,15 Sep 2017,31 Oct 2017
ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD ABERDEEN PROVING GROUND United States
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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.
- Computer Programming and Software