pyccmetrics 0.1.2

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

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.