Software is Not Fragile

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{langdon:2015:csdc,
  author =       "William B. Langdon and Justyna Petke",
  title =        "Software is Not Fragile",
  booktitle =    "Complex Systems Digital Campus E-conference,
                 CS-DC'15",
  year =         "2015",
  editor =       "Pierre Parrend and Paul Bourgine and Pierre Collet",
  series =       "Proceedings in Complexity",
  chapter =      "24",
  pages =        "203--211",
  month =        sep # " 30-" # oct # " 1",
  publisher =    "Springer",
  note =         "Invited talk",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, search-based software engineering SBSE,
                 evolutionary computation, genetic algorithms, genetic
                 programming, automatic software improvement, GPGPU,
                 Software mutation, performance, non-functional
                 properties",
  isbn13 =       "978-3-319-45900-4",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2015_csdc.pdf",
  URL =          "http://cs-dc-15.org/papers/multi-scale-dynamics/evol-comp-methods-2/software-is-not-fragile/",
  URL =          "http://cs-dc-15.org/",
  DOI =          "doi:10.1007/978-3-319-45901-1_24",
  DOI =          "doi:10.1007/978-3-319-45901-1",
  size =         "10 pages",
  abstract =     "Trying all simple changes (first order mutations) to
                 executed C, C++ and CUDA source code shows software
                 engineering artefacts are more robust than is often
                 assumed. Of those that compile, up to 89percent run
                 without error. Indeed a few mutants are improvements.
                 Program fitness landscapes are smoother. Analysis of
                 these programs, a parallel nVidia GPGPU kernel, all
                 CUDA samples and the GNU C library shows many lines of
                 code and integer values are repeated and may follow
                 Zipf's law.",
  notes =        "Slides
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/langdon_2015_csdc_slides.pdf

                 video link broken 2016 BBB video
                 http://unitwin-visio.univ-lehavre.fr/playback/presentation/0.9.0/playback.html?meetingId=4f2febdc2d30ee4f25612233d5c96d3a606081b9-1443451749783

                 1 October 2015 7:10 (UTC) Evolutionary Computing
                 Methods session",
}

Genetic Programming entries for William B Langdon Justyna Petke

Citations