By analyzing the cyclomatic complexity and the control flow graph, you can identify potential areas of code that may require additional testing or refactoring to improve code quality.

Most static code analysis tools report the cyclomatic complexity metric, but to understand how to react to high and low values, it's important to know how to calculate McCabe cyclomatic complexity in ...

Code Complexity Visualizer A powerful and interactive Code Complexity Visualizer built with Python and Streamlit, designed to analyze Python source code and provide in-depth insights including ...

Worried about thorough code coverage? Do you wonder whether you tested every pathway through your code? One way to eliminate that anxiety is to integrate Java cyclomatic complexity testing tools into ...

Assessing the understandability of source code remains an elusive yet highly desirable goal for software developers and their managers. While many metrics have been suggested and investigated ...

Assessing the understandability of source code remains an elusive yet highly desirable goal for software developers and their managers. While many metrics have been suggested and investigated ...

We investigate how the inverse degree index of graphs depends on their cyclomatic number. In particular, we provide sharp lower bounds on the inverse degree index over all graphs on a given number of ...