# Algorithms behind RuboCop complexity metrics

I published a series on **Medium.com**, explaining the algorithms behind RuboCop complexity metrics. The third part reveals the mathematical connections between different metrics. The series will help you with configuring **cyclomatic complexity**, **perceived complexity**, and, **ABC size** values for RuboCop analysis, which are not completely random.

- In the
**first part**we cover syntactic representation of Ruby source code. It provides all the information required to get started with the algorithms. - In the
**second part**we go through the pseudocode of the algorithms and solve a couple of problems to see how to calculate the complexity values without drawing control flow graphs. - In the
**third part**we do mathematical analysis to establish a relationship between the metrics and not use a random RuboCop configuration.

## Comments

Thanks for compiling it up, Great article!

## Post a comment