On the Problem of the Software Cost Function

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

@Article{Dolado:2001:SCF,
  author =       "Jose J. Dolado",
  title =        "On the Problem of the Software Cost Function",
  journal =      "Information and Software Technology",
  year =         "2001",
  volume =       "43",
  number =       "1",
  pages =        "61--72",
  month =        "1 " # jan,
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 software cost function, Cost estimation, Empirical
                 research",
  ISSN =         "0950-5849",
  URL =          "http://www.elsevier.com/locate/issn/09505849",
  DOI =          "doi:10.1016/S0950-5849(00)00137-3",
  URL =          "http://www.sciencedirect.com/science/article/B6V0B-41NK8BD-5/2/6d97db872ced4148a359673dc3b060c6",
  size =         "12 pages",
  abstract =     "The question of finding a function for software cost
                 estimation is a long-standing issue in the software
                 engineering field. The results of other works have
                 shown different patterns for the unknown function,
                 which relates software size to project cost (effort).
                 In this work, the research about this problem has been
                 made by using the technique of Genetic Programming (GP)
                 for exploring the possible cost functions. Both
                 standard regression analysis and GP have been applied
                 and compared on several data sets. However, regardless
                 of the method, the basic size-effort relationship does
                 not show satisfactory results, from the predictive
                 point of view, across all data sets. One of the results
                 of this work is that we have not found significant
                 deviations from the linear model in the software cost
                 functions. This result comes from the marginal cost
                 analysis of the equations with best predictive
                 values.",
}

Genetic Programming entries for Jose Javier Dolado Cosin

Citations