Improved Genetic Programming Model for Software Reliability

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

@InProceedings{Cheng:2009:ASIA,
  author =       "Huifang Cheng and Yongqiang Zhang and Jing Zhao",
  title =        "Improved Genetic Programming Model for Software
                 Reliability",
  booktitle =    "International Asia Symposium on Intelligent
                 Interaction and Affective Computing, ASIA '09",
  year =         "2009",
  month =        dec,
  pages =        "164--167",
  keywords =     "genetic algorithms, genetic programming, SBSE, IGP
                 algorithm, improved genetic programming model, software
                 failure mechanism, software reliability, software
                 reliability",
  DOI =          "doi:10.1109/ASIA.2009.38",
  abstract =     "Many existing software reliability models are based on
                 some subjective assumptions those could be easily
                 impractical in reality. Genetic Programming(GP for
                 short) does not need some subjective assumption due to
                 the basic characteristic of the data. Also, this method
                 doesn't require to understand the inherent processes
                 for failures, but to create models based on the given
                 data for a {"}true{"} process during the specific
                 modeling course, which can describe the software
                 failure mechanisms more effectually and predict for the
                 next failure times more exactly. This paper adopts
                 improved GP(IGP for short) algorithm to hunting model,
                 which can possibly reflect system behaviors, in the
                 function spaces are compoundly constituted by the
                 authorized function operators. Meanwhile, we have
                 proved that IGP can obtain the best solution for
                 failure behavior's variation rules from the convergence
                 character of itself. Moreover, this paper makes use of
                 Orthogonal experimental to adjust the parameters.",
  notes =        "Also known as \cite{5376005}",
}

Genetic Programming entries for Huifang Cheng Yongqiang Zhang Jing Zhao

Citations