Enabling Object Reuse on Genetic Programming-based Approaches to Object-Oriented Evolutionary Testing

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

@InProceedings{Ribeiro:2010:EuroGP,
  author =       "Jose Carlos {Bregieiro Ribeiro} and 
                 Mario Alberto Zenha-Rela and Francisco {Fernandez de Vega}",
  title =        "Enabling Object Reuse on Genetic Programming-based
                 Approaches to Object-Oriented Evolutionary Testing",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "220--231",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, SBSE",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_19",
  abstract =     "Recent research on search-based test data generation
                 for Object-Oriented software has relied heavily on
                 typed Genetic Programming for representing and evolving
                 test data. However, standard typed Genetic Programming
                 approaches do not allow Object Reuse; this paper
                 proposes a novel methodology to overcome this
                 limitation. Object Reuse means that one instance can be
                 passed to multiple methods as an argument, or multiple
                 times to the same method as arguments. In the context
                 of Object-Oriented Evolutionary Testing, it enables the
                 generation of test programs that exercise structures of
                 the software under test that would not be reachable
                 otherwise. Additionally, the experimental studies
                 performed show that the proposed methodology is able to
                 effectively increase the performance of the test data
                 generation process.",
  notes =        "AT-nodes P-nodes \cite{lopez:2004:eurogp}. Java
                 Red-Black tree and vector classes. pop=25. Part of
                 \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010 held in
                 conjunction with EvoCOP2010 EvoBIO2010 and
                 EvoApplications2010",
}

Genetic Programming entries for Jose Carlos Bregieiro Ribeiro Mario Alberto Zenha-Rela Francisco Fernandez de Vega

Citations