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We proprosed a symbolic approach and model learing approach for automatic testing.The main idea of our approach is to build an abstract interaction machine as well as its refinement process in order to guild the symbolic execution to the right direction,for the sake of boosting performance and code coverage rate.Experiments show that our approach is more stable and have higher performance and code coverage compared with traditions.