A Component Selection Framework of Cohesion and Coupling Metrics

Title

A Component Selection Framework of Cohesion and Coupling Metrics

Creator

Iyyappan M.; Kumar A.; Ahmad S.; Jha S.; Alouffi B.; Alharbi A.

Description

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. 2022 CRL Publishing. All rights reserved.

Source

Computer Systems Science and Engineering, Vol-44, No. 1, pp. 351-365.

Date

2022-01-01

Publisher

Tech Science Press

Subject

cohesion metric; complexity component; Component-based software system; coupling metric; interface module density

Coverage

Iyyappan M., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Kumar A., Department of Computer Science and Engineering, SRM University, Delhi-NCR, Sonepat, 131029, India; Ahmad S., Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia; Jha S., School of Sciences, Christ (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India; Alouffi B., Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alharbi A., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

Rights

All Open Access; Hybrid Gold Open Access

Relation

ISSN: 2676192; CODEN: CSSEE

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.32604/csse.2023.025163

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131371537&doi=10.32604%2fcsse.2023.025163&partnerID=40&md5=4c91e67f182585ad5f45f2d15bcf67f5