On development of a framework for massive source code analysis using static code analyzers
Alexander Chistyakov, Artem Pripadchev, Ірина Радченко · 2017
Authors describe architecture and implementation of an automated source code analyzing system which uses pluggable static code analyzers. The paper presents a module for gathering and analyzing the source code massively in a detailed manner. Authors also compare existing static code analyzers for Python programming language. A common format of storing results of code analysis for subsequent processing is introduced. Also, authors discuss methods of statistical processing and visualizing of raw analysis data.