A Multi-Paradigm Complexity Metric (mcm)

No Thumbnail Available

Date

2011

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Organizational Unit
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).

Journal Issue

Abstract

Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages. © 2011 Springer-Verlag.

Description

Univ. Cantabria, Dep. Appl. Math. Comput. Sci.; Univ. Cantabria, Dep. Math., Stat. Comput.; University of Cantabria, Faculty of Sciences; Univ. Cantabria, Vicerrector Res. Knowl. Transf.; The University of Cantabria

Keywords

complexity metrics, Python, Software complexity, software development

Turkish CoHE Thesis Center URL

Fields of Science

Citation

3

WoS Q

Scopus Q

Q3

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 2011 International Conference on Computational Science and Its Applications, ICCSA 2011 -- 20 June 2011 through 23 June 2011 -- Santander -- 85480

Volume

6786 LNCS

Issue

PART 5

Start Page

342

End Page

354

Collections