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In testing object-oriented programs (OOP), a fundamental problem of a genetic algorithm (GA) is how to achieve high code coverage for a class under test (CUT), and it is challenging since it requires the search to generate method calls that reach as many different CUT states as possible. This paper introduces a Guided Genetic Algorithm (GGA) that u...