Performance Evaluation of Improved Cognitive Complexity Metric and Other Code Based Complexity Metrics
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 1
Abstract
Complexity metric is used to estimate various parameters such as software development cost, amount of time needed for implementation and effort required in understanding the software. In this paper, different software complexity models are critically studied and compared. For application, heap sort algorithm is considered. The programs are written in three object oriented languages: C++, C# and Java. Software complexity for each program is found using the four popular Line of Code (LOC), McCabe Cyclomatic Complexity Metric, Halstead Metric and Cognitive model (Improved Cognitive Complexity Metric (ICCM)). The results are compared, according to Halstead Program Difficulty and ICCM, program in C++ has complexity higher than that of program in Java and program in Java has complexity higher than that of program in C#.
Authors and Affiliations
Esher Oluwaseun ISOLA, Stephen Olatunde Olabiyisi, Elijah Olusayo Omidiora, Rafiu Adesina Ganiyu
Keywords
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