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  • 标题:Applying Fuzzy ID3 Decision Tree for Software Effort Estimation
  • 本地全文:下载
  • 作者:Ali Idri ; Sanaa Elyassami
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigate the use of Fuzzy ID3 decision tree for software cost estimation; it is designed by integrating the principles of ID3 decision tree and the fuzzy set-theoretic concepts, enabling the model to handle uncertain and imprecise data when describing the software projects, which can improve greatly the accuracy of obtained estimates. MMRE and Pred are used as measures of prediction accuracy for this study. A series of experiments is reported using two different software projects datasets namely, Tukutuku and COCOMO�81 datasets. The results are compared with those produced by the crisp version of the ID3 decision tree.
  • 关键词:Software cost estimation; Decision Tree; Fuzzy ID3; Fuzzy Entropy
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