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Python package for calculating code complexity metrics of the target source code

Project description

Python Code Complexity Metrics

Python package for calculating code complexity metrics of the target source code.

Description

With the help of this package, you can calculate the following code complexity metrics for your given source code as an input to it:

Level Metric Variants
methods FOUT Number of method calls (fan out) avg, max, total
MLOC Method lines of code avg, max, total
NBD Nested block depth avg, max, total
PAR Number of parameters avg, max, total
VG McCabe cyclomatic complexity avg, max, total
classes NOF Number of fields avg, max, total
NOM Number of methods avg, max, total
NSF Number of static fields avg, max, total
NSM Number of static methods avg, max, total
files ACD Number of anonymous class declarations value
NOI Number of interfaces value
NOT Number of classes value
TLOC Total lines of code value

Getting Started

Support

Currently, the following source code languages is supported:

  1. Java
  2. Python
  3. JavaScript

Dependencies

  1. Python 3
  2. Pip Package Manager

Installing

pip install pyccmetrics

Examples

  • TBC

Authors

Mohammad Mahdi Mohajer

License

This project is licensed under the MIT License - see the LICENSE file for details

Acknowledgments & References

Inspired by the work of Thomas Zimmermann:

T. Zimmermann, R. Premraj and A. Zeller, "Predicting Defects for Eclipse," Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007), 2007, pp. 9-9, doi: 10.1109/PROMISE.2007.10. Click for more info.

Project details


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