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

Chun Kit Kwong, L. F. Mu, J. F. Tang, X. G. Luo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)618-624
Number of pages7
JournalComputers and Industrial Engineering
Volume58
Issue number4
DOIs
Publication statusPublished - 1 May 2010

Keywords

  • Component-based software systems
  • Genetic algorithm
  • Modular design
  • Software component selection

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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