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:1.8120

@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 = "https://www.ijsce.org/portfolio-item/e1871113513/",
• 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