A GP effort estimation model utilizing line of code and methodology for NASA software projects

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

@InProceedings{Sheta:2010:ISDA,
  author =       "Alaa F. Sheta and Alaa Al-Afeef",
  title =        "A GP effort estimation model utilizing line of code
                 and methodology for NASA software projects",
  booktitle =    "10th International Conference on Intelligent Systems
                 Design and Applications (ISDA), 2010",
  year =         "2010",
  pages =        "290--295",
  email =        "alaa.afeef@gmail.com",
  keywords =     "genetic algorithms, genetic programming, sbse, GP
                 effort estimation model, NASA software projects,
                 line-of-code, software cost estimation model, project
                 management, software cost estimation, software
                 development management",
  isbn13 =       "978-1-4244-8134-7",
  URL =          "http://sites.google.com/site/alaaalfeef/home/7.pdf",
  DOI =          "doi:10.1109/ISDA.2010.5687251",
  size =         "6 pages",
  abstract =     "There is still an urgent need of finding a
                 mathematical model which can provide an accurate
                 relationship between the software project effort/cost
                 and the cost drivers. A powerful algorithm which can
                 optimise such a relationship via developing a
                 mathematical relationship between model variables is
                 urgently needed. In this paper, we explore the use of
                 GP to develop a software cost estimation model using
                 the effect of both the developed line of code and the
                 used methodology during the development. An application
                 of estimating the effort for some NASA software
                 projects is introduced. The performance of the
                 developed Genetic Programming (GP) based model was
                 tested and compared to known models in the literature.
                 The developed GP model was able to provide good
                 estimation capabilities compared to other models.",
  notes =        "Also known as \cite{5687251}",
}

Genetic Programming entries for Alaa Sheta Alaa Al-Afeef

Citations