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A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution
The quality of the solutions is tested and compared against the conventional training method to measure the coverage of training data selected using DBS, i. e., how well the subset matches the statistical properties of the entire dataset.
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