Starting on big/medium/small codebases used at SUSE/opensuse projects, i will analyze big codebases with scientific methods/ tools and data. ( not by intuition or feeling )
If you want to learn more you can have a look at the book "Your Code as a Crime Scene" by Adam Tornhill. ( i will use his great suggestions)
As first step we want to find out the hotspot of a large codebase and analyze the weakness of them, visualize the hotspots and try to fix them.
Repositories to be analyzed:
I will post some results of my crime scenes
Looking for mad skills in:
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This project is part of:
Hack Week 17
This project is one of its kind!