Modified Cognitive Complexity Measure

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2006

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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

In cognitive functional size measure, the functional size is proportional to weighted cognitive complexity of all internal BCS's and number of input and output. This paper proposes the modification in cognitive functional size complexity measure. The proposed complexity measure is proportional to total occurrence of operators and operands and all internal BCS's. The operators and operands are equally important in design consideration. Thus, the contribution of the operators, operands and cognitive aspects complete the definition of a complexity measure in terms of cognitive. Accordingly, a new formula is developed for calculating the modified cognitive complexity measure. An attempt has also been made to evaluate modified cognitive complexity measure in terms of nine Weyuker's properties, through examples. It has been found that seven of nine Weyuker's properties have been satisfied by the modified cognitive complexity measure and hence establishes as a well-structured one. © Springer-Verlag Berlin Heidelberg 2006.

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IEEE Turkey Section; Int. Federation for Information Processing,IFIP; Sabanci University; The Scientific and Technological Research Council of Turkey

Keywords

Basic control structures, Cognitive complexity measure, Cognitive weights, Software metrics

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- ISCIS 2006: 21th International Symposium on Computer and Information Sciences -- 1 November 2006 through 3 November 2006 -- Istanbul -- 68727

Volume

4263 LNCS

Issue

Start Page

1050

End Page

1059

URI

https://doi.org/10.1007/11902140_109
 https://hdl.handle.net/20.500.14411/3540

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