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Analysis of Cognitive Complexity with Cyclomatic Complexity Metric of Software

by Dinuka R. Wijendra, K.P. Hewagamage
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 19
Year of Publication: 2021
Authors: Dinuka R. Wijendra, K.P. Hewagamage
10.5120/ijca2021921066

Dinuka R. Wijendra, K.P. Hewagamage . Analysis of Cognitive Complexity with Cyclomatic Complexity Metric of Software. International Journal of Computer Applications. 174, 19 ( Feb 2021), 14-19. DOI=10.5120/ijca2021921066

@article{ 10.5120/ijca2021921066,
author = { Dinuka R. Wijendra, K.P. Hewagamage },
title = { Analysis of Cognitive Complexity with Cyclomatic Complexity Metric of Software },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2021 },
volume = { 174 },
number = { 19 },
month = { Feb },
year = { 2021 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number19/31784-2021921066/ },
doi = { 10.5120/ijca2021921066 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:22:32.910537+05:30
%A Dinuka R. Wijendra
%A K.P. Hewagamage
%T Analysis of Cognitive Complexity with Cyclomatic Complexity Metric of Software
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 19
%P 14-19
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The complexity of a software can be derived by using software complexity metrics which determines various software attributes quantitatively. The cognitive complexity metric, which is considering as a prominent factor of calculating the complexity of a software, evaluates how the human brain processes the given software with respective to different aspects, which involves the concept of cognitive Informatics. The McCabe’s cyclomatic complexity is currently using as a standard complexity metric to determine the software complexity in terms of the number of linear independent paths. Thus, a broad analysis is carried on how the cognitive complexity derived based on Cognitive Information Complexity Measure (CICM) and the McCabe’s cyclomatic complexity relates and varies with the computation of the given software, resulting that the cognitive complexity value becomes high with respective to its cyclomatic complexity. The cognitive complexity computation beyond the CICM value does not have a strong linear relation of the computation with cyclomatic complexity, which may be derived with a certain combination of relationships based on the factors involved within the cognitive complexity determination.

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Index Terms

Computer Science
Information Sciences

Keywords

BCS CC CICM LOC

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