An Evolutionary Approach for Performing Structural Unit-Testing on Third-Party Object-Oriented Java Software

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

@InProceedings{RibeiroZV07a,
  author =       "Jose Carlos Ribeiro and Mario Zenha-Rela and 
                 Francisco {Fernandez de Vega}",
  title =        "An Evolutionary Approach for Performing Structural
                 Unit-Testing on Third-Party Object-Oriented Java
                 Software",
  booktitle =    "Proceedings of International Workshop on Nature
                 Inspired Cooperative Strategies for Optimization (NICSO
                 '07)",
  year =         "2007",
  pages =        "379--388",
  editor =       "Natalio Krasnogor and Giuseppe Nicosia and 
                 Mario Pavone and David Pelta",
  volume =       "129",
  series =       "Studies in Computational Intelligence",
  address =      "Acireale, Italy",
  month =        "8-10 " # nov,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, SBSE",
  bibsource =    "http://crestweb.cs.ucl.ac.uk/resources/sbse_repository/repository.html",
  isbn13 =       "978-3-540-78986-4",
  URL =          "http://jcbribeiro.googlepages.com/NICSO2007-053.pdf",
  DOI =          "doi:10.1007/978-3-540-78987-1_34",
  abstract =     "Evolutionary Testing is an emerging methodology for
                 automatically generating high quality test data. The
                 focus of this paper is on presenting an approach for
                 generating test cases for the unit-testing of
                 object-oriented programs, with basis on the information
                 provided by the structural analysis and interpretation
                 of Java bytecode and on the dynamic execution of the
                 instrumented test object. The rationale for working at
                 the bytecode level is that even when the source code is
                 unavailable, insight can still be obtained and used to
                 guide the search-based test case generation process.
                 Test cases are represented using the Strongly Typed
                 Genetic Programming paradigm, which effectively mimics
                 the polymorphic relationships, inheritance dependences
                 and method argument constraints of object-oriented
                 programs.",
  notes =        "http://www.dmi.unict.it/nicso2007/
                 http://www.dmi.unict.it/nicso2007/NICSO2007-program.pdf",
}

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

Citations