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Analysis of Existing Software Cognitive Complexity Measures

Analysis of Existing Software Cognitive Complexity Measures

Sanjay Misra, Adewole Adewumi, Robertas Damasevicius, Rytis Maskeliunas
Copyright: © 2017 |Volume: 8 |Issue: 4 |Pages: 21
ISSN: 1947-3036|EISSN: 1947-3044|EISBN13: 9781522513889|DOI: 10.4018/IJSSE.2017100103
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MLA

Misra, Sanjay, et al. "Analysis of Existing Software Cognitive Complexity Measures." IJSSE vol.8, no.4 2017: pp.51-71. http://doi.org/10.4018/IJSSE.2017100103

APA

Misra, S., Adewumi, A., Damasevicius, R., & Maskeliunas, R. (2017). Analysis of Existing Software Cognitive Complexity Measures. International Journal of Secure Software Engineering (IJSSE), 8(4), 51-71. http://doi.org/10.4018/IJSSE.2017100103

Chicago

Misra, Sanjay, et al. "Analysis of Existing Software Cognitive Complexity Measures," International Journal of Secure Software Engineering (IJSSE) 8, no.4: 51-71. http://doi.org/10.4018/IJSSE.2017100103

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Abstract

In order to maintain the quality of software, it is important to measure it complexity. This provides an insight into the degree of comprehensibility and maintainability of the software. Measurement can be carried out using cognitive measures which are based on cognitive informatics. A number of such measures have been proposed in literature. The goal of this article is to identify the features and advantages of the existing measures. In addition, a comparative analysis is done based on some selected criteria. The results show that there is a similar trend in the output obtained from the different measures when they are applied to different examples. This makes it easy for adopting organisations to readily choose from the options based on the availability of tool support.

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