Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Chavoya:2011:ITNG,
  author =       "Arturo Chavoya and Cuauhtemoc Lopez-Martin and 
                 M. E. Meda-Campana",
  title =        "Applying Genetic Programming for Estimating Software
                 Development Effort of Short-scale Projects",
  booktitle =    "Eighth International Conference on Information
                 Technology: New Generations (ITNG 2011)",
  year =         "2011",
  month =        "11-13 " # apr,
  pages =        "174--179",
  address =      "Las Vegas, NV, USA",
  size =         "6 pages",
  abstract =     "Statistical regression and neural networks have
                 frequently been used to estimate the development effort
                 of both short and large software projects. In this
                 paper, a genetic programming technique is used with the
                 goal of estimating the effort required in the
                 development of short-scale projects. Results obtained
                 are compared with those generated using the first two
                 techniques. A sample of 132 short-scale projects
                 developed by 40 programmers was used for generating the
                 three models, whereas another sample of 77 projects
                 developed by 24 programmers was used for validating
                 those three models. Accuracy results from the model
                 obtained with genetic programming suggest that it could
                 be used to estimate software development effort of
                 short-scale projects when these projects are developed
                 in a disciplined manner within a development controlled
                 environment.",
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 development controlled environment, neural networks,
                 short scale projects, software development effort,
                 statistical regression, software development
                 management",
  DOI =          "doi:10.1109/ITNG.2011.37",
  notes =        "Also known as \cite{5945228}",
}

Genetic Programming entries for Arturo Chavoya-Pena Cuauhtemoc Lopez-Martin Maria Elena Meda-Campana

Citations