Top Seven Problems with High Cyclomatic Complexity

A crisp summary is useful

Here are seven key problems associated with high cyclomatic complexity:

1. Difficult to Understand: Code with high cyclomatic complexity tends to be more complex and harder to understand. It becomes challenging for developers to comprehend the logic and flow of such code, making it difficult to maintain, debug, and enhance.

2. Increased Error-Prone: Code with high cyclomatic complexity is more error-prone, as there are more possible paths and conditions. It becomes challenging to test all possible paths and combinations, increasing the likelihood of introducing bugs or missing edge cases.

3. Reduced Readability: High cyclomatic complexity often leads to long and convoluted code segments with multiple nested conditions and loops. Such code is challenging to read, leading to reduced readability and maintainability.

4. Reduced Reusability: Highly complex code is less reusable, as its inherent complexity makes it difficult to extract and apply specific logic to different parts of a system. This limits code reuse and increases the overall development effort.

5. Increased Code Maintenance Effort: High cyclomatic complexity makes code maintenance more challenging. Any changes or enhancements to the code require a deep understanding of the complex logic, resulting in increased development time and effort.

6. Stifling Innovation: Complex code often hampers the ability to innovate and introduce new features or improvements quickly. The complexity limits the flexibility and agility of the codebase, making it more resistant to change.

7. Difficulty in Onboarding: Codebases with high cyclomatic complexity make onboarding new developers or team members more difficult. The learning curve becomes steeper, requiring more time and effort to become productive.

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