The goal of this project will be to perform survey of code styles by querying WoC. For example, what percentage of variable names in python files use snake_case vs camelCase. A more sophisticated example might be what percentage of lists in python files are initialized via comprehension vs for loops, what percentage of C++ files use smart pointers vs C-style pointers, etc.
This data could be used to quantify language idioms or smells, and also can identify frameworks that subvert languages idioms.
The end deliverables of this project will be a paper and presentation showcasing the findings, as well as any tools we create in the process.
Our group is @lyra3, @warhodes-dev, @bradymclaugh, @e-vananderson