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
An automated framework that builds a versioned TPL API Knowledge Base and a large-scale benchmark that proposes two lightweight solutions, Real-time Detection and Lightweight Repair, to mitigate ITAUs and provide a foundation for more compatibility-aware code generation in evolving software ecosystems.
Li Lin, Yaorui Fei, Yunfeng Shen et al.· ACM Transactions on Software...· 0 citations
