Why do we use cyclomatic complexity

Having covered the what and the how of cyclomatic complexity, there's only one major question left:Cyclomatic complexity of a program is a structural (or topological) measure of programs' complexity for measuring software quality.Cyclomatic complexity is a software metric that measures the number of linearly independent paths through a program's source code.The nodes of the graph correspond to one or more code statement and the edges connect two nodes.Mccabe developed this metric in 1976.mccabe interprets a computer program as a set of a strongly connected directed graph.

Cyclomatic complexity is a source code complexity measurement that is being correlated to a number of coding errors.It would be basically an input to the refactoring.Just to make sure we are talking about the same thing, cyclomatic complexity is a metric that was introduced by thomas mccabe in 1976 and aims at capturing the complexity of a method in a single number.The following steps should be followed for computing cyclomatic complexity and test cases design.Cyclomatic complexity is especially important when it comes to testing.

Broadly speaking, cyclomatic complexity is derived by counting the number of potential paths through the system (typically at the method level).Cyclomatic complexity of a code section is the quantitative measure of the number of linearly independent paths in it.This metric was developed by thomas j.The nodes of the graph correspond to indivisible groups of commands of a.It is a quantitative measure of the number of linearly independent paths through program's source code.

As a qa we can use this technique to identify the level of our testing.It was given by mccabe for finding the efficiency of a computer program.By calculating the cyclomatic complexity of a function you know the minimum number of test cases you'll need to achieve full branch coverage of that function.