We will calculate the number of edges, nodes and the exit points to calculate Cyclomatic complexity using the formula. After noticing the above control flow graph, we can evaluate the following values of Cyclomatic complexity parameters. Therefore, Cyclomatic complexity for the above control flow graph is 2 which is an acceptable number.
In a similar way, using the same formula we can calculate the Cyclomatic complexity for any source code and based on the result, we can determine the risks and associated maintenance cost. It can be really useful for overall project budgeting. To understand the importance of Cyclomatic complexity from a QA perspective, the result we get from the formula determines how much testing is required to test that piece of source code. For example, if the number is higher, that piece of code requires in-depth testing compared to the code which has lower Cyclomatic complexity.
Our testing scope and the methods would be defined according to the complexity of the functionality. The control flow graph for the code under test can be obtained from the developer to calculate the number of edges, nodes and exit points. Also, a number of test cases for maximum test coverage can be determined as well based on the paths in the CFG control flow graph and the branches. In other words, Cyclomatic complexity is very helpful for QA to estimate the scope of testing, determine how skilled tester is required, and the extent of testing required for the best way possible code coverage.
Cyclomatic Complexity in Software Testing is a testing metric used for measuring the complexity of a software program. It is a quantitative measure of independent paths in the source code of a software program. Cyclomatic complexity can be calculated by using control flow graphs or with respect to functions, modules, methods or classes within a software program. Independent path is defined as a path that has at least one edge which has not been traversed before in any other paths.
This metric was developed by Thomas J. McCabe in and it is based on a control flow representation of the program. Control flow depicts a program as a graph which consists of Nodes and Edges. In the graph, Nodes represent processing tasks while edges represent control flow between the nodes. Flow Graph notation for a program defines several nodes connected through the edges. Below are Flow diagrams for statements like if-else, While, until and normal sequence of flow.
Easy Normal Medium Hard Expert. Writing code in comment? Please use ide. Load Comments. What's New. Most popular in Algorithms. The modules with both a high complexity and a large size tend to have the lowest reliability. Modules with low size and high complexity are also a reliability risk because they tend to be very terse code, which is difficult to change or modify. Code analysis includes a category of Maintainability rules. For more information, see Maintainability rules.
When using legacy code analysis, the Extended Design Guideline rule set contains a maintainability area:. This rule issues a warning when the cyclomatic complexity reaches 25, so it can help you avoid excessive complexity. To learn more about the rule, see CA The bottom line is that a high complexity number means greater probability of errors with increased time to maintain and troubleshoot.
Take a closer look at any functions that have a high complexity and decide if they should be refactored to make them less complex. McCabe, T. Watson, A.
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