Sedar: Obtaining High-Quality Seeds for DBMS Fuzzing via Cross-DBMS SQL Transfer

Author:

Fu Jingzhou1ORCID,Liang Jie1ORCID,Wu Zhiyong1ORCID,Jiang Yu1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

Funder

NSFC Program

Chinese Postdoctoral Science Foundation

National Key Research and Development Project

Publisher

ACM

Reference48 articles.

1. ANSI. 2022. ANSI Standard. https://www.ansi.org/. Accessed: January 4, 2024.

2. Testing Database Engines via Query Plan Guidance

3. MonetDB B.V. 2023. MonetDB Website. https://www.monetdb.org. Accessed: January 4, 2024.

4. ClickHouse. 2021. Fuzzing: Practical Approaches in ClickHouse. https://presentations.clickhouse.com/cpp_siberia_2021/index_en.html. Accessed: January 4, 2024.

5. DuckDB. 2023. DuckDB Fuzzers. https://github.com/duckdb/duckdb-fuzzer/issues. Accessed: January 4, 2024.

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