A software metric for Python language

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Date

2010

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Springer Verlag

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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

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. © 2010 Springer-Verlag Berlin Heidelberg.

Description

et al.; Kyushu Sangyo University; La Trobe University; Monash University; University of Basilicata; University of Perugia

Keywords

Complexity metrics, Python, Software complexity, Software development

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Citation

1

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Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 2010 International Conference on Computational Science and Its Applications, ICCSA 2010 -- 23 March 2010 through 26 March 2010 -- Fukuoka -- 80261

Volume

6017 LNCS

Issue

PART 2

Start Page

301

End Page

313

URI

https://doi.org/10.1007/978-3-642-12165-4_24
 https://hdl.handle.net/20.500.14411/3640

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Scopus