文章基本信息

标题：A min-max Approach for Improving the Accuracy of Effort Estimation of COCOMO
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作者：H. S. Hota ; Ramesh Pratap Singh
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：3
页码：74-79
出版社：International Journal of Soft Computing & Engineering
摘要：This study proposed to extend the Constructive Cost Model (COCOMO) by incorporating the concept of min-max approach to estimation. Formal effort estimation models like Constructive Cost Model (COCOMO) are limited by their inability to manage uncertainties and imprecision surrounding software projects early in the development life cycle. A min-max approach is suggested to rectify data uncertainties and modeling errors. The proposed method of min-max is used to improve the accuracy of effort estimation of COCOMO and its result have been compared with the gradient descent, robust fuzzy clustering, k-mean clustering methods of estimation. It has been observed that the proposed method have lowest and steady state absolute estimate error AE(k) and mean absolute estimate error MAE(k) for different value of k(time series) and different step-size s.
关键词：Sugeno fuzzy inference system; min-max;method; Constructive Cost Model (COCOMO); effort;estimation; Absolute Estimate Error; Mean Absolute Estimate;Error.