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  • 标题:Survey on Effective Software Effort Estimation Techniques
  • 本地全文:下载
  • 作者:Rathi. J ; Kamalraj. R ; Karthik. S
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2012
  • 卷号:1
  • 期号:8
  • 页码:180-183
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Software effort estimation is a very importanttask in the software engineering field. In this paper gives theoverview about the software effort estimation techniques. Thetechniques are expert estimation, parametric model,algorithmic model, COCOMO, gray relational analysis withgenetic algorithm, Ridge Regression (RiR), MultivariateAdaptive Regression Splines (MARS), Robust Regression(RoR), Classification and Regression Tree (CART), CaseBased Reasoning (CBR), analogy weights with geneticalgorithm are available in the field. And this paper concludesthat we cannot say a particular technique is best fit for all thesituations to give an accurate estimation. So that we make acareful comparison between all estimation approaches andchoose the appropriate technique for each task. It will help usto make accurate software effort estimation by theseestimation techniques.
  • 关键词:Software Effort Estimation; Software Cost;Estimation; Similarity Measures; Historical Projects.
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