What is cyclomatic complexity and why is it important?
An example of an AI chatbot conversation about understanding cyclomatic complexity in software development.
What is cyclomatic complexity and why is it important?
Cyclomatic complexity is a software metric used to measure the complexity of a program. It helps in assessing the number of linearly independent paths through a program's source code.
How is cyclomatic complexity calculated?
It is calculated using the formula: M = E - N + 2P, where M is the cyclomatic complexity, E is the number of edges, N is the number of nodes, and P is the number of connected components.
What are the benefits of keeping cyclomatic complexity low?
Keeping cyclomatic complexity low improves code readability, maintainability, and reduces the likelihood of bugs.
Can you give me an example of high cyclomatic complexity?
Sure! A function with multiple conditional statements, loops, and switch cases can have high cyclomatic complexity, making it harder to test and maintain.
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