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Examining Software Coupling and Cohesion Patterns using Social Network Analysis

by Mohamed Maddeh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 19
Year of Publication: 2024
Authors: Mohamed Maddeh
10.5120/ijca2024923579

Mohamed Maddeh . Examining Software Coupling and Cohesion Patterns using Social Network Analysis. International Journal of Computer Applications. 186, 19 ( May 2024), 10-19. DOI=10.5120/ijca2024923579

@article{ 10.5120/ijca2024923579,
author = { Mohamed Maddeh },
title = { Examining Software Coupling and Cohesion Patterns using Social Network Analysis },
journal = { International Journal of Computer Applications },
issue_date = { May 2024 },
volume = { 186 },
number = { 19 },
month = { May },
year = { 2024 },
issn = { 0975-8887 },
pages = { 10-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number19/examining-software-coupling-and-cohesion-patterns-using-social-network-analysis/ },
doi = { 10.5120/ijca2024923579 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-05-24T23:32:57.349264+05:30
%A Mohamed Maddeh
%T Examining Software Coupling and Cohesion Patterns using Social Network Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 19
%P 10-19
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social network analysis (SNA) is an emerging research area that has gained significant attention in recent years. Analyzing OO program through SNA can provide insights into how a program component, classes and methods interact and collaborate. In fact, an OO program is composed of a set of classes that interact with each other. Considering a class as a node and the interaction as a relationship, we can take advantage from SNA capabilities to the benefit of OO programming. Therefore, SNA is an excellent way for detecting and quantifying coupling and cohesion in an Object Oriented Programming (OOP) based on the class interaction, by analyzing the connections between classes and methods. An accurate coupling and cohesion detection helps developers to optimize codes and improve its overall performance and maintainability. In this paper, we represent four java open source projects (JUnit 5.10.2, Spring 6.1.4, Apache Commons BCEL 6.8.2 and Guava 33.0) as a social network. We also, applied SNA techniques to identify lowly cohesive classes and highly coupled classes.

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Index Terms

Computer Science
Information Sciences

Keywords

Object Oriented Programming Coupling Cohesion Social Network Analysis Refactoring Maintainability.

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