Multi-Objective Coevolutionary Automated Software Correction

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

  author =       "Josh L. Wilkerson and Daniel R. Tauritz and 
                 James M. Bridges",
  title =        "Multi-Objective Coevolutionary Automated Software
  booktitle =    "GECCO '12: Proceedings of the fourteenth international
                 conference on Genetic and evolutionary computation
  year =         "2012",
  editor =       "Terry Soule and Anne Auger and Jason Moore and 
                 David Pelta and Christine Solnon and Mike Preuss and 
                 Alan Dorin and Yew-Soon Ong and Christian Blum and 
                 Dario Landa Silva and Frank Neumann and Tina Yu and 
                 Aniko Ekart and Wil Browne and Tim Kovacs and 
                 Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and 
                 Giovanni Squillero and Nicolas Bredeche and 
                 Stephen L. Smith and Alison Motsinger-Rei and Jose Lozano and 
                 Martin Pelikan and Silja Meyer-Nienber and 
                 Christian Igel and Greg Hornby and Rene Doursat and 
                 Steve Gustafson and Gustavo Olague and Shin Yoo and 
                 John Clark and Gabriela Ochoa and Gisele Pappa and 
                 Fernando Lobo and Daniel Tauritz and Jurgen Branke and 
                 Kalyanmoy Deb",
  isbn13 =       "978-1-4503-1177-9",
  pages =        "1229--1236",
  keywords =     "genetic algorithms, genetic programming, SBSE,
                 search-based software engineering, Automated Program
                 Correction, Coevolution, Multi-Objective Optimisation,
                 NSGA-II, Fitness Sharing",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330163.2330333",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  size =         "8 pages",
  abstract =     "For a given program, testing, locating the errors
                 identified, and correcting those errors is a critical,
                 yet expensive process. The field of Search Based
                 Software Engineering (SBSE) addresses these phases by
                 formulating them as search problems. The Coevolutionary
                 Automated Software Correction (CASC) system targets the
                 correction phase by coevolving test cases and programs
                 at the source code level. The latest version of the
                 CASC system is presented, featuring multi-objective
                 optimisation and an enhanced representation language.
                 Results are presented demonstrating CASC's ability to
                 successfully correct five seeded bugs in two
                 non-trivial programs from the Siemens test suite.
                 Additionally, evidence is provided substantiating the
                 hypothesis that multi-objective optimization is
                 beneficial to SBSE.",
  notes =        "SIR seeded errors printtoken2 replace p1235 'Results
                 are presented demonstrating CASC's ability to
                 successfully correct 5 seeded bugs in two non-trivial
                 programs from the Siemens test suite.'

                 Also known as \cite{2330333} GECCO-2012 A joint meeting
                 of the twenty first international conference on genetic
                 algorithms (ICGA-2012) and the seventeenth annual
                 genetic programming conference (GP-2012)",

Genetic Programming entries for Josh L Wilkerson Daniel R Tauritz James M Bridges