A multi-objective genetic algorithm for generating test suites from extended finite state machines

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