Design of software effort estimation models an approach based on linear genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Roberto Sanchez and Diego P. Pinto-Roa",
  booktitle =    "2017 XLIII Latin American Computer Conference (CLEI)",
  title =        "Design of software effort estimation models an
                 approach based on linear genetic programming",
  year =         "2017",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 Software Effort Estimation, COCOMO, Linear Genetic
  DOI =          "doi:10.1109/CLEI.2017.8226469",
  abstract =     "Estimating effort is a very important task in any
                 organization. Significant over or under-estimates can
                 be very expensive for software project companies. The
                 use of computing intelligence methods has been recently
                 proposed for software development effort estimation. In
                 this study, we present new models to estimate the
                 effort required for the development of software
                 projects. These new models were calculated using Linear
                 Genetic Programming (PGL). The results show that the
                 proposed models get more precise and more effective
                 estimation for Mean Magnitude Relative error (MMRE) and
                 Mean Magnitude of Relative Error relative to the
                 Estimate (MMER) than using the constructive cost model
                 (COCOMO). We performed the study based on three stages
                 according to the type of project. The models were
                 designed and validated by simulation with the public
                 repository dataset COCOMO81 and NASA93. Performance of
                 the proposed models EE_PGLa, EE_PGLb and EE_PGLc are
                 more accurate than COCOMO.",
  notes =        "In spanish? Programacion Genetica Lineal

                 Also known as \cite{8226469}",

Genetic Programming entries for Roberto Sanchez Diego P Pinto-Roa