files/journal/2022-09-02_12-54-44-000000_354.png

Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
112
Views
0
Downloads

Analysis of Component based Metric using Non-Dominated Sorting based Genetic Algorithm

Sonal Gahlot and Rajender Singh Chhillar
Page: 9842-9846 | Received 21 Sep 2022, Published online: 21 Sep 2022

Full Text Reference XML File PDF File

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.


How to cite this article:

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