A model for measuring cognitive complexity of software

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Date

2008

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Volume Title

Publisher

Springer Verlag

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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).

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Abstract

This paper proposes a model for calculating cognitive complexity of a code. This model considers all major factors responsible for (cognitive) complexity. The practical applicability of the measure is evaluated through experimentation, test cases and comparative study. © 2008 Springer-Verlag Berlin Heidelberg.

Description

Croatian National Tourist Board; Ericsson Nikola Tesla; Ministr. of Sci., Educ. and Sports of the Republic of Croatia; Univ. of Zagreb, Fac. of Electrical Engineering and Computing; Zagreb Tourist Board

Keywords

Cognitive complexity, Metric, Size, Software complexity, Structure, Understandability

Turkish CoHE Thesis Center URL

Citation

10

WoS Q

N/A

Scopus Q

Q3

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 -- 3 September 2008 through 5 September 2008 -- Zagreb -- 74820

Volume

5178 LNAI

Issue

PART 2

Start Page

879

End Page

886

URI

https://doi.org/10.1007/978-3-540-85565-1_109

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Scopus