| Title | On Development of a Framework for Massive Source Code Analysis Using Static Code Analyzers |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Chistyakov, Alexander, Pripadchev, Artem, Radchenko, Irina |
| Conference Name | Proceedings of the 13th Central & Eastern European Software Engineering Conference in Russia |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6396-9 |
| Keywords | code analysis, composability, Human Behavior, open source, pubcrawl, resilience, Resiliency, static analyzers, static code analysis |
| Abstract | 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. |
| URL | http://doi.acm.org/10.1145/3166094.3166114 |
| DOI | 10.1145/3166094.3166114 |
| Citation Key | chistyakov_development_2017 |
On Development of a Framework for Massive Source Code Analysis Using Static Code Analyzers