¿Cómo puedo reducir mi complejidad en npath?

How can I reduce my complexity in npath?

Reducing Cyclomatic Complexity

1. Use small methods. Try reusing code wherever possible and create smaller methods which accomplish specific tasks.
2. Reduce if/else statements. Most often, we don’t need an else statement, as we can just use return inside the ‘if’ statement.

For most routines, a cyclomatic complexity below 4 is considered good; a cyclomatic complexity between 5 and 7 is considered medium complexity, between 8 and 10 is high complexity, and above that is extreme complexity.

Remove the Cyclomatic Complexity metric entirely which is currently throwing a warning for all our projects when the value is greater than 20. Add 5 new rules to our Quality Profile which will scan the projects and raise code smells when a specific class/method breaches the defined Cognitive Complexity threshold.

How to Calculate Cyclomatic Complexity McCabe?

1. P = number of disconnected parts of the flow graph (e.g. a calling program and a subroutine)
2. E = number of edges (transfers of control)
3. N = number of nodes (sequential group of statements containing only one transfer of control)

Apply formulas in order to compute Cyclomatic complexity. 3) Cyclomatic complexity V(G) = P +1 V (G) = 2 + 1 = 3 Where P is predicate nodes (node 1 and node 2) are predicate nodes because from these nodes only the decision of which path is to be followed is taken. Thus Cyclomatic complexity is 3 for given code.

Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program’s source code.

Cognitive complexity tells us, how difficult code is to understand by a reader….Refactor to Lower Cognitive Complexity in Examples

1. Refactoring to Shorter Condition.
2. Refactoring with Method Extraction.
3. Refactoring to Responsible Method.

3) Cyclomatic complexity V(G) = P +1 V (G) = 2 + 1 = 3 Where P is predicate nodes (node 1 and node 2) are predicate nodes because from these nodes only the decision of which path is to be followed is taken. Thus Cyclomatic complexity is 3 for given code.

So the NPath complexity is exponential and could easily get out of hand, in old legacy code don’t be surprised if you find functions with complexity over 100 000. The default value of the threshold for this complexity is 200, staying under that value is something you should strive for.

The NPATH metric was designed base on Cyclomatic complexity to avoid problem of Cyclomatic complexity metric like nesting level within a function (method). Metric was described at “NPATH: a measure of execution pathcomplexity and its applications” .

The simple explanation is that how many “paths” there are in the flow of your code in the function. Let’s write ut a simple example function. So here we have function with 4 possible outcomes, since we have 2 statements that have 2 possible outcomes each ( 2 * 2 = 4 ). That means that the functions Npath complexity is 4.

Metric was described at “NPATH: a measure of execution pathcomplexity and its applications” . If you need detailed description of algorithm, please read that article, it is well written and have number of examples and details. Here is some quotes: An NPATH threshold value of 200 has been established for a function.