BS-GEP Algorithm for Prediction of Software Failure Series

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Yongqiang Zhang and Jing Xiao and Shengjuan Sun",
  title =        "BS-GEP Algorithm for Prediction of Software Failure
  journal =      "Journal of Software",
  year =         "2012",
  volume =       "7",
  number =       "1",
  pages =        "243--248",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, SBSE, BS-GEP, complexity
                 analysis, convergence analysis, software failure, time
                 series prediction",
  ISSN =         "1796217X",
  URL =          "",
  broken =       "\&genre=article\&issn=1796217X\&date=2012\&volume=7\&issue=1\&spage=243",
  DOI =          "doi:10.4304/jsw.7.1.243-248",
  size =         "6 pages",
  abstract =     "This paper introduces GEP(Gene Expression Programming)
                 fundamental. Aimed at prediction of software failure
                 sequence, an improved GEP(GEP based on Block Strategy,
                 BS-GEP) is presented, in which the population is
                 divided into several blocks according to the individual
                 fitness of each generation and the genetic operators
                 are reset differently in each block to guarantee the
                 genetic diversity. The algorithm complexity and
                 convergence of BS-GEP is analysed in the paper.
                 Furthermore, BS-GEP is applied in the solution of
                 prediction in software failure sequence. The simulation
                 results show that the model found by BS-GEP, which is
                 proved widely used for many other time series, is more
                 accurate than the one of classic GEP.",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  oai =          "oai:doaj-articles:cce5bee368f9a6cd7fa22ef0f44dc45b",

Genetic Programming entries for Yongqiang Zhang Jing Xiao Shengjuan Sun