Effective DBMS fuzzing relies on high-quality initial seeds, which serve as the starting point for mutation. These initial seeds should incorporate various DBMS features to explore the state space thoroughly. While built-in test cases are typically used as initial seeds, many DBMSs lack comprehensive test cases, making it difficult to apply state-of-the-art fuzzing techniques directly.
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Fu et al. (2024) studied this question.
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