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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 : Computer Science
2009, 14(3), pp.210-216
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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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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