Scalability of the coevolutionary automated software correction system

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Josh L. Wilkerson and Daniel R. Tauritz",
  title =        "Scalability of the coevolutionary automated software
                 correction system",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 companion on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 Search-based software engineering: Poster",
  pages =        "243--244",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001858.2001995",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "The Coevolutionary Automated Software Correction
                 system addresses in an integral and fully automated
                 manner the complete cycle of software artifact testing,
                 error location, and correction phases. It employs a
                 coevolutionary approach where software artifacts and
                 test cases are evolved in tandem. The test cases evolve
                 to better find flaws in the software artifacts and the
                 software artifacts evolve to better behave to
                 specification when exposed to the test cases, thus
                 causing an evolutionary arms race. Experimental results
                 are presented which demonstrate the scalability of the
                 Coevolutionary Automated Software Correction system by
                 establishing correlations between program size and both
                 success rate and estimated convergence rate that are at
                 most linear.",
  notes =        "Also known as \cite{2001995} Distributed on CD-ROM at

                 ACM Order Number 910112.",

Genetic Programming entries for Josh L Wilkerson Daniel R Tauritz