Generating Tree Inputs For Testing Using Evolutionary Computation Techniques

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@InProceedings{grinan:2020:CEC,

• author = "David Grinan and Alfredo Ibias",
• title = "Generating Tree Inputs For Testing Using Evolutionary Computation Techniques",
• booktitle = "2020 IEEE Congress on Evolutionary Computation, CEC 2020",
• year = "2020",
• editor = "Yaochu Jin",
• pages = "paper id24267",
• address = "internet",
• month = "19-24 " # jul,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, PSO, SBSE, Software Testing, Evolutionary Computation, Mutation Testing",
• isbn13 = "978-1-7281-6929-3",
• URL = "https://alfredoibias.com/wp-content/uploads/2020/04/2020-CEC.pdf",
• DOI = "doi:10.1109/CEC48606.2020.9185561",
• size = "8 pages",
• abstract = "Software Testing usually considers programs with parameters ranging over simple types. However, there are many programs using structured types. The main problem to test these programs is that it is not easy to select a relatively small test suite that can find most of the faults in these programs. In this paper we present a framework to generate test suites for unit testing of methods which have trees as parameters. We combine classical mutation testing with Evolutionary Computation techniques to evolve a population of trees. The final goal is to obtain a set of trees, representing good test cases, that will be used as the test suite to test the corresponding method.",
• notes = "https://wcci2020.org/",

}

Genetic Programming entries for David Grinan Alfredo Ibias

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