DataFrame systems are core components of modern data analytics platforms and achieve high performance through various optimization techniques. However, these optimizations can introduce subtle defects that are difficult to detect, undermining system reliability. Existing testing approaches primarily rely on manually wr...
Jia-Xin Hu, Shao-Wei Chen, Rong-Xin Wu· Proceedings of the 41st IEEE...· 0 citations
Text-to-SQL models translate natural language questions into SQL, enabling non-technical users to access databases. However, most existing research focuses on correctness, neglecting query efficiency. In this paper, we address the challenge of evaluating the execution efficiency of generated SQL in Text-to-SQL by intro...
Li Lin, Yun-Feng Shen, Ling-Feng Bao et al.· Proceedings of the ACM on So...· 0 citations
SmartFuzz, an automated framework for synthesizing high-quality initial SQL seeds for mutation-based DBMS fuzzing using Large Language Models (LLMs), is proposed and demonstrated that it significantly improves bug discovery and code coverage compared to state-of-the-art mutation-based fuzzers.
Li Lin, Jin-Tai Hong, Yan Zhuang et al.· Proceedings of the ACM on Pr...· 0 citations
