@article{MAKHILLJEAS2019142418858,
    title = {Analysis of Component based Metric using Non-Dominated
Sorting based Genetic Algorithm},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {24},
    pages = {9842-9846},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.9842.9846},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.9842.9846},
    author = {Sonal and},
    keywords = {NSGA-III,Genetic algorithm,component based metric,coupling,cohesion,optimization},
    abstract = {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.}
    }