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Search-based optimization techniques have been utilized for a number of software engineering activities. The representation of the problem and the definition of the fitness function (FF) are two key ingredients for the application of search-based optimization to software engineering problems. Therefore, a well-defined fitness function is essential to the effectiveness and efficiency of the search-based...
This paper presents an automatic test-data generation technique that uses a genetic algorithm (GA) to generate test data that satisfy data-flow coverage criteria. The technique applies the concepts of dominance relations between nodes to define a new multi-objective fitness function to evaluate the generated test data. The paper also presents the results of a set of empirical studies conducted on...
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