Cyclomatic Complexity is a measure used in software development to evaluate the complexity of a program. It assesses the number of independent paths through the program's source code, indicating its complexity and potential for errors.
The main purpose of Cyclomatic Complexity is to identify complex areas within the code that may be harder to understand, test, and maintain. It helps developers pinpoint where simplification or refactoring may be beneficial.
Cyclomatic Complexity counts the number of decision points or branches in the code. Each decision point represents a potential path through the program. A higher Cyclomatic Complexity score suggests a more intricate program structure.
By measuring Cyclomatic Complexity, developers can prioritize testing and debugging efforts more effectively. It promotes code quality improvements by encouraging simpler and more manageable code structures.
Cyclomatic Complexity provides valuable insights into the structure and potential risks of software code. By understanding and managing complexity, developers can enhance code maintainability, reduce errors, and improve overall software reliability.