This study discusses a component based metric named as CI (Complexity of Interface), for the software complexity analysis at any stage of software development life cycle. The metric CI uses the coupling along with cohesion between different component of same or different modules, respectively. This metric also covers the anonymous classes and inner classes. The analysis of the metric is done by using the Non-dominated Sorting Genetic Algorithm 3 (NSGA-III) with discriminant analysis as the fitness function. The NSGA-III is the one of the latest and stable version modification of the Genetic algorithm used for optimization purposes. The analysis clearly shows that the CI metric computes the complexity of the interface effectively and can replace the existing coupling, cohesion metric metrics.
Sonal Gahlot and Rajender Singh Chhillar. Analysis of Component based Metric using Non-Dominated
Sorting based Genetic Algorithm.
DOI: https://doi.org/10.36478/jeasci.2019.9842.9846
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.9842.9846