cyclomatic complexity

I've explained in previous articles in this series that cyclomatic complexity tends to be one of the harbingers of sticky code.

The bottom of the figure indicates the CheckStyle cyclomatic-complexity violation for a method.

What's more, this tool also gathers the cyclomatic complexity of every method in a code base.

Testing methods with high cyclomatic complexity values is almost always like stepping into a maze -- no easy exit in sight.

Measuring cyclomatic complexity is, therefore, particularly valuable in situations where you're working with a legacy code base.

Programs with lower cyclomatic complexity are easier to understand and less risky to modify.

Cyclomatic complexity isn't the only complexity measurement for spotting high risk code, however.

A good rule of thumb is to create a number of test cases equal to the cyclomatic complexity value of the code being tested.

This installment of the series covers the cyclomatic-complexity metric in a discussion about testing.

The total number of noncommenting lines of code and the cyclomatic complexity per each method in the code base.

Cyclomatic complexity, pioneered during those studies I previously mentioned, precisely measures path complexity.

CheckStyle is another open source project with a similar cyclomatic complexity rule.

Cyclomatic complexity is a measurement to determine the stability and level of confidence in a COBOL program.

The maintainability index is a synthesis of three metrics: cyclomatic complexity, lines of code, and computational complexity.

To determine the conditional-complexity code smell, you determine a method's cyclomatic complexity.

A few open source tools available to Java developers can report on cyclomatic complexity.

What's interesting here is that we were able to spot this defect using cyclomatic complexity rather than code coverage.

The approximate size of a covering set as a lower limit (n 1, equivalent to cyclomatic complexity of a graph).

At the code level, Maurice Halstead's software metrics and Tom McCabe's cyclomatic complexity model were widely accepted.

Complexity indicators are mainly the cyclomatic complexity number V(g) and the number of statements in the code.

The cyclomatic complexity formula, first developed by Thomas McCabe, is based on the number of branches in a function.

PMD, another open source project that analyzes Java source files, has a series of rules, one of which reports cyclomatic complexity.

Cyclomatic complexity is purely a measure of the relative complexity of one method versus another.

Cyclomatic complexity is a measure of the relative complexity of one method versus another.

Cyclomatic complexity is a measure of the structural complexity of the type or method.

A nice open source tool that measures cyclomatic complexity for the Java language is the open source JavaNCSS tool (see Resources).

This graph shows three key metrics over time: code coverage, cyclomatic complexity, and cyclomatic complexity per method.

The two metrics I focus on in this article are cyclomatic complexity and afferent coupling.

The cyclomatic complexity number ckjm reports represents the sum of the complexity of all the methods in the class.

I covered cyclomatic complexity in " Test-driven design, Part 2, " but it has some nuances I didn't discuss there.

Thus, it makes sense only when compared to other cyclomatic-complexity measures.

JavaNCSS: JavaNCSS is an open source metrics tool that provides method-level values for cyclomatic complexity.

More technical definitions come from such measures as cyclomatic complexity developed by McCabe 4 and others.

The most effective way to reduce cyclomatic complexity is to pull out portions of code and place them into new methods.

CheckStyle, JavaNCSS, and PMD are open source tools that measure cyclomatic complexity.

Cyclomatic complexity is a measure that dates back to 1975 as defined by Thomas McCabe.

The maintainability index is calculated by using the following metrics: lines of code, program volume, and cyclomatic complexity.

Cyclomatic complexity is a way to measure how tangled the paths are in the state space.

The original method had a cyclomatic complexity of 43.

Each of the former if blocks took 3 lines of code (and contributed 1 cyclomatic complexity point).

In this case, I am viewing the cyclomatic complexity of an individual method.

Because of this unit-of-work mismatch, it makes sense to look at both sum and average measures of cyclomatic complexity.

My prime candidate for investigation is the UIBean class, which has a cyclomatic complexity of 53 and afferent coupling of 22.

Cyclomatic complexity is a method-level measurement, but the unit of work in Java programming is the class.

What is cyclomatic complexity and why is it important?

This method has a cyclomatic complexity of 3 (8 - 7 2).

Following this version of cyclomatic complexity, the CC for the above sample code will be counted as

Code modules having high cyclomatic complexity

Thus, in another version of cyclomatic complexity

A Software Cyclomatic Complexity Metrics Method Based on Procedure Blueprint

JavaNCSS: JavaNCSS is a popular metrics tool for Java that reports (among other things) cyclomatic complexity