Suitability of Genetic Programming for Software Reliability Growth Modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Afzal08e,
  author =       "Wasif Afzal and Richard Torkar",
  title =        "Suitability of Genetic Programming for Software
                 Reliability Growth Modeling",
  booktitle =    "The 2008 International Symposium on Computer Science
                 and its Applications (CSA'08)",
  year =         "2008",
  pages =        "114--117",
  address =      "Hobart, ACT",
  month =        "13-15 " # oct,
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming, software
                 reliability data points, software reliability growth
                 modeling, SBSE",
  DOI =          "doi:10.1109/CSA.2008.13",
  abstract =     "Genetic programming (GP) has been found to be
                 effective in finding a model that fits the given data
                 points without making any assumptions about the model
                 structure. This makes GP a reasonable choice for
                 software reliability growth modeling. This paper
                 discusses the suitability of using GP for software
                 reliability growth modeling and highlights the
                 mechanisms that enable GP to progressively search for
                 fitter solutions.",
  notes =        "Also known as \cite{4654071}

                 ",
}

Genetic Programming entries for Wasif Afzal Richard Torkar

Citations