Automated Test Data Generation Using Fuzzy Logic-Genetic Algorithm Hybridization System for Class Testing Of Object Oriented Programming

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

@Article{Mondal:2013:IJSCE,
  author =       "Swapan Kumar Mondal and Hitesh Tahbildar",
  title =        "Automated Test Data Generation Using Fuzzy
                 Logic-Genetic Algorithm Hybridization System for Class
                 Testing Of Object Oriented Programming",
  journal =      "International Journal of Soft Computing \&
                 Engineering",
  year =         "2013",
  volume =       "3",
  number =       "5",
  month =        nov,
  pages =        "40--49",
  keywords =     "genetic algorithms, genetic programming, SBSE, UML,
                 java, binary tree, fuzzy logic control (flc), mutation
                 testing",
  bibsource =    "OAI-PMH server at www.doaj.org",
  oai =          "oai:doaj-articles:7869fb9f6f20f575cb8364fedf5f48b7",
  ISSN =         "2231-2307",
  URL =          "http://www.ijsce.org/attachments/File/v3i5/E1871113513.pdf",
  size =         "10 pages",
  abstract =     "In this paper we have explained automatic test data
                 generation particularly for class testing of object
                 oriented programming. During test data generation we
                 have implemented the Genetic program - Fuzzy logic
                 control auxiliary hybridisation techniques. Some cases
                 genetic algorithm has been used for optimised the
                 desired results. As a future challenges we have made
                 comments on the use of this new proposed technique.
                 This proposed technique can be used for testing of
                 industrial production oriented software.Production
                 oriented software is use in Computer numerical control
                 (C.N.C) machine.",
}

Genetic Programming entries for Swapan Kumar Mondal Hitesh Tahbildar

Citations