A Component Selection Framework of Cohesion and Coupling Metrics

作     者：M.Iyyappan Arvind Kumar Sultan Ahmad Sudan Jha Bader Alouffi Abdullah Alharbi 

作者机构：Department of Computer Science and EngineeringSRM UniversityDelhi-NCRSonepat131029India Department of Computer ScienceCollege of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia School of SciencesChrist(Deemed to be University)Delhi-NCRGhaziabad201003India Department of Computer ScienceCollege of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information TechnologyCollege of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2023年第44卷第1期

页      面：351-365页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：We deeply acknowledge Taif University for Supporting this research through Taif University Researchers Supporting Project number(TURSP-2020/231) Taif University Taif Saudi Arabia 

主　　题：Component-based software system coupling metric cohesion metric complexity component interface module density 

摘      要：Component-based software engineering is concerned with the develop-ment of software that can satisfy the customer prerequisites through reuse or inde-pendent *** and cohesion measurements are primarily used to analyse the better software design quality,increase the reliability and reduced system software *** complexity measurement of cohesion and coupling component to analyze the relationship between the component *** this paper,proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the *** measures the interface density modules of coupling and cohesion in a modular software *** cohesion measurement has been taken into two parameters for analyz-ing the result of complexity,with the help of low cohesion and high *** coupling measures between the component of inside parameters and outside *** process of coupling and cohesion,the measured values were used for the average calculation of components *** paper measures the complexity of direct and indirect interaction among the component as well as the proposed algorithm selecting the optimal component for the *** better result is observed for high cohesion and low coupling in compo-nent-based software engineering.