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An evolutionary testing approach for test data generation from EFSM model with string data input


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/22085

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Title: An evolutionary testing approach for test data generation from EFSM model with string data input
Authors: Paul, Diponkar
Issue Date: 8-Mar-2010
Degree: Student essay
Series/Report no.: 2009
42
Keywords: Evaluation algorithm
test data generation
fitness function
Extended Finite State Machine (EFSM)
Abstract: The thesis has aimed to test data generation from EFSM model with string data input. In testing area a very few work is done to generate test data with string data input. So this topic is interesting to the testing arena. To reach the goal a genetic algorithm (GA) tool is developed. A study was carried out to choose the best fitness function for string data input; resulting modified edit distance algorithm was used as a fitness function. Firstly, string and alphanumeric values with differen... more
URI: http://hdl.handle.net/2077/22085
Appears in Collections:Magisteruppsatser

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