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Andreas Dewes - Learning from other's mistakes: Data-driven analysis of Python code - PyCon 2015

PyCon 2015 · Youtube · 1 HN comments
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Youtube Summary
"Speaker: Andreas Dewes

Static code analysis is an useful tool that can help to detect bugs early in the software development life cycle. I will explain the basics of static analysis and show the challenges we face when analyzing Python code. I will introduce a data-driven approach to code analysis that makes use of public code and example-based learning and show how it can be applied to analyzing Python code.

Slides can be found at: https://speakerdeck.com/pycon2015 and https://github.com/PyCon/2015-slides"
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Actually we build our own code checkers using a custom query language that we have developed, so while we use a lot of buzzwords we actually do the things they stand for ;)

We are pretty open about our methods and technologies, check out e.g. this talk from the PyCon 2015 for more details on our approach: https://www.youtube.com/watch?v=rN0kNQLDYCI

Slides are available here: http://www.slideshare.net/japh44/talk-handout-46938511

yole
Then the example on the index page could be updated to sound more convincing. You don't need big data and machine learning to detect a wildcard import.
ThePhysicist
Good point, we'll think about updating this. Thanks for the feedback!
efriese
I've worked for a major static analysis product company for 7 years and I can tell you from experience customizing rules is not a popular feature. People like the idea of writing custom rules, but the vast majority don't. You guys may make a market out of this and prove me wrong wrong, I just wanted to provide some feedback based on my experience in this industry.
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