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Cyclomatic Complexity

Cyclomatic Complexity is a software metric used to measure the complexity of a program by quantifying the number of linearly independent paths through the program's source code. Developed by Thomas J. McCabe, it helps in identifying the complexity of a module, which can impact its maintainability, testability, and reliability. A higher cyclomatic complexity indicates more complex and potentially more error-prone code. Reducing complexity through refactoring and good design practices can lead to more maintainable and robust software.
Related Terms
Cross-Cutting ConceptCommandConsistencyCohesion
Why is cyclomatic complexity an important metric?
Cyclomatic complexity is important because it helps identify the complexity of a program, impacting its maintainability, testability, and reliability.
How can high cyclomatic complexity affect software quality?
High cyclomatic complexity can affect software quality by making the code more error-prone, harder to understand, and challenging to test and maintain.
What practices can help reduce cyclomatic complexity?
Practices that can help reduce cyclomatic complexity include refactoring, using design patterns, modularizing code, and adhering to good design principles.