How do I measure cyclomatic complexity in my code?

How do I measure cyclomatic complexity in my code?

Cyclomatic complexity is a software metric used to measure the complexity of a program. You can calculate it using the formula: E - N + 2P, where E is the number of edges, N is the number of nodes, and P is the number of connected components. Would you like to know how to apply this in a specific programming language?

Yes, can you show me an example in Python?

Sure! In Python, you can use the radon library to measure cyclomatic complexity. After installing it, you can run radon cc your_file.py in the terminal to get the complexity metrics for your code.

What is a good cyclomatic complexity score?

A cyclomatic complexity score of 1-10 is considered low and manageable, while 11-20 indicates moderate complexity. Scores above 20 suggest that the code may be too complex and could benefit from refactoring.

How can I reduce cyclomatic complexity?

You can reduce cyclomatic complexity by simplifying your code, breaking down large functions into smaller ones, and using polymorphism or design patterns to manage complexity.