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  • 标题:Software Development Effort Estimation by Means of Genetic Programming
  • 本地全文:下载
  • 作者:Arturo Chavoya ; Cuauhtemoc Lopez-Martin ; M.E. Meda-Campaña
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:11
  • DOI:10.14569/IJACSA.2013.041115
  • 出版社:Science and Information Society (SAI)
  • 摘要:In this study, a genetic programming technique was used with the goal of estimating the effort required in the development of individual projects. Results obtained were compared with those generated by a statistical regression and by a neural network that have already been used to estimate the development effort of individual software projects. A sample of 132 projects developed by 40 programmers was used for generating the three models and another sample of 77 projects developed by 24 programmers was used for validating the three models. Results in the accuracy of the model obtained from genetic programming suggest that it could be used to estimate software development effort of individual projects.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; genetic programming; feedforward neural network; software effort estimation; statistical regression
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