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Optimization of software components selection for component-based software system development

delete2010-05-01
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PRE
AI
C
C.K. Kwong *
L
Lifeng Mu
J
Jiafu Tang
X
Xiangfeng Luo
DOI:10.1016/j.cie.2010.01.003delete
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Abstract

Abstract

En 中文
During the last two decades, there has been a growing interest in component-based software system (CBSS) development both in academia and in industry. In CBSS development, it is common to identify software modules first. Once they are determined, we need to select appropriate software components for each software module. However, very few research works so far have addressed the theoretical aspect especially in the optimization of software component selection for CBSS development. Previous studies of CBSS development seldom considered the influence of software components on coupling and cohesion of software modules. In this paper, the formulation of an optimization model of software components selection for CBSS development is described. The model has two objectives: maximizing the functional performance of the CBSS and maximizing the cohesion and minimizing the coupling of software modules. A genetic algorithm (GA) is introduced to solve the optimization model for determining the optimal selection of software components for CBSS development. An example of developing a financial system for small- and medium-size enterprises is used to illustrate the proposed methodology. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Component-based software systems
Modular design
Software component selection
Genetic algorithm
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computers and Industrial Engineering cover
Computers and Industrial Engineering
IF:
6.5
Papers:
1.0W
Citations:
3.8W

Organization

H
hong kong polytechnic university
Scholars:
3.0W
Papers: 4.1W
Citations: 921
N
northeastern university - china
Scholars:
3.2W
Papers: 2.7W
Citations: 37
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