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Support Vector Regression based on Immune Algorithm for Software Cost Estimation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(7), pp.16-24
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

권기태 1 이준길 1

1강릉대학교

Accredited

ABSTRACT

Increasing use of information system has led to larger amount of developing expenses and demands on software. Until recent days, the model using regression analysis based on statistical algorithm has been used. However, Machine learning is more investigated now. This paper estimates the software cost using SVR(Support Vector Regression), a sort of machine learning technique. Also, it finds the best set of parameters applying immune algorithm. In this paper, software cost estimation is performed by SVR based on immune algorithm while changing populations, memory cells, and number of allele. Finally, this paper analyzes and compares the result with existing other machine learning methods.

Citation status

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