We propose a test suite generation technique from extended finite state machines based on a genetic algorithm that fulfills multiple (conflicting) objectives. We aim at maximizing coverage and feasibility of a set of test cases while minimizing similarity between these cases and minimizing overall cost.

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Persistent URL dx.doi.org/10.1007/978-3-642-39742-4_26
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Asoudeh, N. (Nesa), & Labiche, Y. (2013). A multi-objective genetic algorithm for generating test suites from extended finite state machines. doi:10.1007/978-3-642-39742-4_26