Open Access

ARTICLE

A Component Selection Framework of Cohesion and Coupling Metrics

Iyyappan. M¹, Arvind Kumar¹, Sultan Ahmad^2,*, Sudan Jha³, Bader Alouffi⁴, Abdullah Alharbi⁵

1 Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India
2 Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia
3 School of Sciences, Christ (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India
4 Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
5 Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

* Corresponding Author: Sultan Ahmad. Email:

Computer Systems Science and Engineering 2023, 44(1), 351-365. https://doi.org/10.32604/csse.2023.025163

Received 14 November 2021; Accepted 05 January 2022; Issue published 01 June 2022

Abstract

Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This cohesion measurement has been taken into two parameters for analyzing the result of complexity, with the help of low cohesion and high cohesion. In coupling measures between the component of inside parameters and outside parameters. The final process of coupling and cohesion, the measured values were used for the average calculation of components parameter. This paper measures the complexity of direct and indirect interaction among the component as well as the proposed algorithm selecting the optimal component for the repository. The better result is observed for high cohesion and low coupling in component-based software engineering.

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Keywords

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