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  • 标题:A Cognitive Approach to Measure the Complexity of Breadth First Search Algorithm
  • 本地全文:下载
  • 作者:Isola Esther O. ; Olabiyisi Stephen O. ; Omidiora Elijah O.
  • 期刊名称:Annals. Computer Science Series
  • 印刷版ISSN:1583-7165
  • 电子版ISSN:2065-7471
  • 出版年度:2018
  • 卷号:16
  • 期号:1
  • 页码:120-125
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要: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.
  • 关键词:Breadth first search algorithm; Improved Cognitive Complexity Metric; Cognitive Functional Size; Cognitive Information Complexity Metric.
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