<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/2966" mdate="2011-10-27 00:00:00"> <author>A.Aloysius and L. Arockiam</author> <title>A Survey on Metric of Software Cognitive Complexity for OO design</title> <pages>1127 - 1131</pages> <year>2011</year> <volume>5</volume> <number>10</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/2966</ee> <url>https://publications.waset.org/vol/58</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In modern era, the biggest challenge facing the software industry is the upcoming of new technologies. So, the software engineers are gearing up themselves to meet and manage change in large software system. Also they find it difficult to deal with software cognitive complexities. In the last few years many metrics were proposed to measure the cognitive complexity of software. This paper aims at a comprehensive survey of the metric of software cognitive complexity. Some classic and efficient software cognitive complexity metrics, such as Class Complexity (CC), Weighted Class Complexity (WCC), Extended Weighted Class Complexity (EWCC), Class Complexity due to Inheritance (CCI) and Average Complexity of a program due to Inheritance (ACI), are discussed and analyzed. The comparison and the relationship of these metrics of software complexity are also presented.</abstract> <index>Open Science Index 58, 2011</index> </article>