For example, the programs execution paths, inheritance, dependencies are plotted with clear diagrams that can measure the complexity and sustainability of the program. The information is provided with regular charts and tables, and you can get a comprehensive overview of the status of the code with an overview. For example, easily number of classes, number of project files, number of methods, number of lines, blank lines, comments, dead codes, rate of comments relative to code, cyclomatic complexity and code overlap, classes dependency, code inconsistency, The number of paths to the program, the inheritance status, the weight of the methods relative to the class, and many other metrics.
This tool is able to measure many metrics and provide you with graphs with clear information about different code indexes. Scientific Toolworks Understand is a static analytics tool for managing, measuring, and analyzing programming source code.
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