Use of Evolutionary Techniques for Symbolic Execution Based Testing
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Anjali Kapoor , Mohit kumar|
Anjali Kapoor , Mohit kumar. "Use of Evolutionary Techniques for Symbolic Execution Based Testing". International Journal of Engineering Trends and Technology (IJETT). V4(7):3207-3212 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Evolutionary methods when used as a test data generator optimize the given input (usually called test case) according to a selected test coverage criterion encoded as a fitness function. Basically, the genetic algorithms and other Evol utionary techniques are based on pure random search. However, these algorithms adapt to the given problem. In the last decade lot of evolution based metaheuristic techniques are applied for searching software errors. This survey paper presents the work app lying computational evolutionary methods in structural software testing based test data generation.
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Evolutionary Techniques, Symbolic testing