![]() On the surface it might be easy to think any highly complicated program should be re-written to mitigate risk. The Software Engineering Institute ( uses the following complexity thresholds for risk management. ![]() Identifying these high risk areas is an important use of Cyclomatic complexity. This is a quick way to identify complicated areas of code whose modification could result in a large increase of bugs. In this treemap the complexity is represented by the darkness of the color and the size of each box represents the number of lines of code in each function. The metrics treemap provides another way to view metrics using size and color. Additionally you can export metrics to a spreadsheet manually or via the command line tool “und”. Metrics can be viewed directly in Understand through the Metrics Browser. Understand reports the Cyclomatic complexity for program units (functions and methods) and reports the aggregated average and sum metrics for their containing classes and files. Traditionally, it is calculated using the Control Flow graph of the program and is defined as the number of linearly independent paths through the program. ![]() ![]() Also known as Conditional complexity, it was developed by Thomas McCabe in 1976. Modified on: Wed, 29 Sep, 2021 at 4:19 PMĬyclomatic complexity is a software metric used to measure how complicated a program is. Solution home Understand Metrics Understanding McCabe Cyclomatic Complexity ![]()
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