Cyclomatic Complexity is a crucial software metric used to measure the complexity of a program’s control flow. Developed by Thomas J. McCabe, it helps identify independent execution paths, ensuring thorough test coverage and reducing potential errors. By calculating the number of edges, nodes, and decision points in the code, developers and testers can assess maintainability, optimize test cases, and improve software quality. Discover how to compute Cyclomatic Complexity, interpret results, and leverage automation tools to enhance your testing strategy! 🧑‍💻✅🔢

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