Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
ACM SIGSOFT Software Engineering Notes
Programming Python
Entropy metric for XML DTD documents
ACM SIGSOFT Software Engineering Notes
Python for Unix and Linux System Administration
Python for Unix and Linux System Administration
Natural Language Processing with Python
Natural Language Processing with Python
Bioinformatics Programming Using Python: Practical Programming for Biological Data
Bioinformatics Programming Using Python: Practical Programming for Biological Data
Learning python, fourth edition
Learning python, fourth edition
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There are many metrics for evaluating the quality of codes written in different programming languages. However, no efforts have been done to propose metrics for Python, which is an important and useful language especially for the software development for the embedded systems. In this present work, we are trying to investigate all the factors, which are responsible for increasing the complexity of code written in Python language. Accordingly, we have proposed a unified metric for this language. Practical applicability of the metric is demonstrated on a case study.