Coevolutionary automated software correction

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Wilkerson:2010:gecco,
  author =       "Josh L. Wilkerson and Daniel Tauritz",
  title =        "Coevolutionary automated software correction",
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  editor =       "Juergen Branke and Martin Pelikan and Enrique Alba and 
                 Dirk V. Arnold and Josh Bongard and 
                 Anthony Brabazon and Juergen Branke and Martin V. Butz and 
                 Jeff Clune and Myra Cohen and Kalyanmoy Deb and 
                 Andries P Engelbrecht and Natalio Krasnogor and 
                 Julian F. Miller and Michael O'Neill and Kumara Sastry and 
                 Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and 
                 Carsten Witt",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "1391--1392",
  keywords =     "genetic algorithms, genetic programming, Search-based
                 software engineering, Poster, Software Engineering,
                 Testing and Debugging, Artificial Intelligence, Problem
                 Solving, Control Methods, Search, Algorithms,
                 Experimentation, Reliability, Automated Debugging,
                 Repair, Coevolution, SBSE, Search-Based Testing",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830483.1830739",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper presents the Coevolutionary Automated
                 Software Correction system, which addresses in an
                 integral and fully automated manner the complete cycle
                 of software artifact testing, error location, and
                 correction phases. It employs a co-evolutionary
                 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 on the
                 same test problem employed in the published results on
                 the previous state-of-the-art automated software
                 correction system.",
  notes =        "CASC, C++, ECJ bubble sort. Cites
                 \cites{Arcuri:2008:ICSEphd},\cites{Arcuri:thesis},\cites{Arcuri:2008:cec},\cites{DBLP:conf/gecco/ForrestNWG09}.

                 Also known as \cite{1830739} GECCO-2010 A joint meeting
                 of the nineteenth international conference on genetic
                 algorithms (ICGA-2010) and the fifteenth annual genetic
                 programming conference (GP-2010)",
}

Genetic Programming entries for Josh L Wilkerson Daniel R Tauritz

Citations