A Cognitive Approach to Measure the Complexity of Breadth First Search Algorithm

Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 1

Abstract

There are different facets of software complexity some of which have been computed using widely accepted metrics like cognitive complexity metric such as Improved cognitive complexity measure (ICCM), Cognitive functional size (CFS), and Cognitive information complexity measure (CICM), Cognitive complexity metric reflects difficulty for programmers to understand the code and the information packed in it. In this research work, the strength and weakness of existing cognitive complexity metric such as Improved Cognitive Complexity Measure (ICCM), Cognitive Functional Size (CFS), and Cognitive Information Complexity Measure (CICM) on breadth first search code implemented in C++, C# and java language were examined.

Authors and Affiliations

Esher Oluwaseun ISOLA, Olabiyisi Stephen Olatude, Elijah Olusayo Omidiora, Rafiu Adesina Ganiyu, Olajide Y. ADEBAYO

Keywords

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  • EP ID EP540009
  • DOI -
  • Views 131
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How To Cite

Esher Oluwaseun ISOLA, Olabiyisi Stephen Olatude, Elijah Olusayo Omidiora, Rafiu Adesina Ganiyu, Olajide Y. ADEBAYO (2018). A Cognitive Approach to Measure the Complexity of Breadth First Search Algorithm. Annals. Computer Science Series, 16(1), 120-125. https://europub.co.uk/articles/-A-540009