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MSR17 Paper: Code Quality on GitHub

In this repo, we provide information on how to replicate our MSR 2017 study which examined the code quality of open-source reposiotires on GitHub by using static code analysis.

Static Analysis Tool

For our static analyses, we use ConQAT, a free and open-source analysis tool developed by the folks at CQSE GmbH.

Analysis settings

We analyzed repositories in C, C++, C#, Java, and JavaScript and configured ConQAT to calculate the following metrics:

Metric Setting
Clone Coverage min. clone length: 10, max-instances: 50
Nesting Depth Nesting <= 5: 'green', else 'red'
Method Length method <= 75 SLOC: 'green', else 'red'
File Size file <= 750 SLOC: 'green', else 'red'
Comment Incompl. #commented interfaces / #expected interface comments[1]

[1] To retrieve the expected interface comments, we used the following ConQAT comment selectors:

  • For C and C++ : public & (type | method | property | attribute ) & !(simpleGetter | simpleSetter | annotated(Override) | override)
  • For Java and C# : type|(public&(attribute|(method&declaration)))

Excluding irrelevant code

This repo contains resources for excluding test, generated and third-party code during static code analyses.

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Resources for excluding test, generated and third-party code during static code analyses

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