On development of a framework for massive source code analysis using static code analyzers (Alexander Chistyakov, SECR-2017) — различия между версиями
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…, authors discuss methods of statistical processing and visualizing of raw analysis results. </blockquote> {{VideoSection}} {{vimeoembed|240325382|800|450}} {{youtubelink|Z9bX7YJo77Q}}{{letscomment}} {{SlidesSection}} [[File:On development of a framework for massive source code analysis using static code analyzers (Alexander Chistyakov, SECR-2017).pdf|left|page=-|300px]] {{----}} [[File:{{#setmainimage:On development of a framework for massive source code analysis using static code analyzers (Alexander Chistyakov, SECR-2!.jpg}}|center|640px]] {{LinksSection}} * [http://2017.secrus.ruorg/program/submitted-presentations/on-development-of-a-framework-for-massive-source-code-analysis-using-static-code-analyzers The talk page] <!-- <blockquote>[©]</blockquote> --> {{fblink|1961526494100362}} {{vklink|780}} <references/> <!-- topub --> {{stats|disqus_comments=0|refresh_time=2018-10-10T23:59:532021-08-31T16:31:31.841737463532|vimeo_comments=0|vimeo_plays=3643|youtube_comments=0|youtube_plays=4065}} [[Категория:SECR-2017]] [[Категория:Статический анализ кода]] | |||
Текущая версия на 06:01, 20 октября 2025
- Speaker
- Александр Чистяков
Authors describe architecture and implementation of an automated source code analyzing system which uses pluggable static code analyzers.
A module for gathering and analyzing the source code massively is described in details. 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 results.
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