Comparative Study of Cognitive Complexity Measures

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2008

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Ieee

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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

Complexity metrics are used to predict critical information about reliability and maintainability of software systems. Cognitive complexity measure based on cognitive informatics, plays an important role in understanding the fundamental characteristics of software, therefore directly affects the understandability and maintainability of software systems. In this paper, we compared available cognitive complexity measures and evaluated cognitive weight complexity measure in terms of Weyuker's properties.

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

Keywords

Software metrics, cognitive weights, basic control structures, Weyuker's Properties

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23rd International Symposium on Computer and Information Sciences (ISCIS) -- OCT 27-29, 2008 -- Istanbul, TURKEY

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Start Page

445

End Page

448

URI

https://hdl.handle.net/20.500.14411/8813

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