Estimating Complexity of Programs in Python Language

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2011

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Univ Osijek, Tech Fac

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

In this paper, a complexity metric for Python language is formulated. Since Python is an object oriented language, the present metric is capable to evaluate any object-oriented language. We validate our metric with case study, comparative study and empirical validation. The case study is in Python, Java and C++ and the results prove that Python is better than other object-oriented languages. Later, we validate the metric empirically with a real project, which is developed in Python.

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Misra, Sanjay/0000-0002-3556-9331
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Misra, Sanjay ORCID logo

Keywords

complexity metric, Python, software complexity, software development

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Q4

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Q3

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Volume

18

Issue

1

Start Page

23

End Page

32

URI

https://hdl.handle.net/20.500.14411/8592

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