University of Bahrain
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Comparison of Software Complexity Metrics

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dc.contributor.author Khan, Ali Athar
dc.contributor.author Mahmood, Amjad
dc.contributor.author Amralla , Sajeda M.
dc.contributor.author Mirza,Tahera H.
dc.date.accessioned 2018-07-31T08:42:36Z
dc.date.available 2018-07-31T08:42:36Z
dc.date.issued 2016
dc.identifier.issn 2210-1519
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/1720
dc.description.abstract One of the main problems in software engineering is the inherent complexity. Complexity metric is used to estimate various parameters such as software development cost, amount of time needed for implementation and number of tests required. In this paper, different software complexity models are critically studied and compared. For application, quick sort algorithm is considered. The programs are written in three object oriented languages: C++, Visual Basic and Java. Software complexity for each program is found using the four popular LOC, McCabe, Halstead and Cognitive models. The results are compared. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ *
dc.subject Software Complexity Metric
dc.subject Line of Code
dc.subject Cyclomatic Number
dc.subject Cognitive Complexity
dc.title Comparison of Software Complexity Metrics en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/IJCNT/040103
dc.volume 04
dc.issue 01
dc.source.title International Journal of Computing and Network Technology
dc.abbreviatedsourcetitle IJCNT


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