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

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.