GP-based software quality prediction

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

  author =       "Matthew Evett and Taghi Khoshgoftar and 
                 Pei-der Chien and Edward Allen",
  title =        "GP-based software quality prediction",
  booktitle =    "Genetic Programming 1998: Proceedings of the Third
                 Annual Conference",
  year =         "1998",
  editor =       "John R. Koza and Wolfgang Banzhaf and 
                 Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max H. Garzon and 
                 David E. Goldberg and Hitoshi Iba and Rick Riolo",
  pages =        "60--65",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "San Francisco, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, SBSE",
  ISBN =         "1-55860-548-7",
  URL =          "",
  size =         "6 pages",
  abstract =     "Software development managers use software quality
                 prediction methods to determine to which modules
                 expensive reliability techniques should be applied. In
                 this paper we describe a genetic programming (GP) based
                 system for targeting software modules for reliability
                 enhancement. The paper describes the GP system, and
                 provides a case study using software quality data from
                 two actual industrial projects. The system is shown to
                 be robust enough for use in industrial domains.",
  notes =        "GP-98",

Genetic Programming entries for Matthew P Evett Taghi Khoshgoftar Pei-der Chien Edward B Allen