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A Study on the Selection of Parameters and Application of SVM for Software Cost Estimation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(3), pp.210-216
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kwon, Ki Tae 1 이준길 2

1강릉원주대학교
2강릉대학교 전산원

Accredited

ABSTRACT

The accurate estimation of software development cost is important to a successful development in software engineering. This paper presents a software cost estimation method using a support vector machine. Support vector machine is one of the efficient techniques for classification, and it is the classification method of input data based on Maximum-Margin Hyperplane. But SVM has the problem of the selection of optimal parameters, because it is dependent on user's parameters. This paper selects optimized SVM parameters using advanced method, and estimates software development cost. The proposed approach outperform some recent results reported in the literature.

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