See cyclomatic complexity for an application of the first Betti number in software engineering.

Cyclomatic complexity may also be applied to individual functions, modules, methods or classes within a program.

This corresponds to the intuitive notion of cyclomatic complexity, and can be calculated as above.

The value of is the cyclomatic complexity.

It is essentially an extension of the cyclomatic complexity for multitasking/multithreaded programs.

All three of the above numbers may be equal: branch coverage cyclomatic complexity number of paths.

Cyclomatic complexity may be extended to a program with multiple exit points; in this case it is equal to:

If, however, we use cyclomatic complexity to indicate the number of tests we require, the number increases to 3.

Essential complexity is also used with a different meaning in connection with cyclomatic complexity.

In terms of cyclomatic complexity, both of these options increase it by k 1 if given k cases.

Cyclomatic complexity (or conditional complexity) is a software metric (measurement).

- The 10 most complex methods (Source Code Cyclomatic complexity)

It is useful because of two properties of the cyclomatic complexity, M, for a specific module:

The techniques used in white box testing are condition coverage, decision coverage, statement coverage, cyclomatic complexity.

Classes with high Cyclomatic Complexity measurements.

Structures such as if-then-else and while loops are considered well structured and then do not increase the essential cyclomatic complexity.

A number of studies have investigated cyclomatic complexity's correlation to the number of defects contained in a function or method.

- Avoid making complex methods even more complex (Source Code Cyclomatic complexity)

This corresponds to the characterization of cyclomatic complexity as "number of loops plus number of components".

In this context, essential complexity refers to the cyclomatic complexity after iteratively replacing all well structured control structures with a single statement.

Another application of cyclomatic complexity is in determining the number of test cases that are necessary to achieve thorough test coverage of a particular module.

Cyclomatic complexity (McCabe's complexity)

For the more topologically inclined, cyclomatic complexity can alternatively be defined as a relative Betti number, the size of a relative homology group:

The cyclomatic complexity of a section of source code is the count of the number of linearly independent paths through the source code.

The complexity counts may include the number of math, trig, logarithm functions, calculations, conditionals, logicals, preprocessors, assignments, pointers, and cyclomatic complexity.