Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17946
Title: Optimization of software components selection for component-based software system development
Authors: Kwong, CK 
Mu, LF
Tang, JF
Luo, XG
Keywords: Component-based software systems
Genetic algorithm
Modular design
Software component selection
Issue Date: 2010
Publisher: Pergamon Press
Source: Computers and industrial engineering, 2010, v. 58, no. 4, p. 618-624 How to cite?
Journal: Computers and industrial engineering 
Abstract: 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.
URI: http://hdl.handle.net/10397/17946
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2010.01.003
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