1 citations · 1 across the 3 of their papers we have counts for
4 papers
A Set-Theoretic Approach to Detecting Logic Bugs in DBMS Inner Join Optimizations
Ce Lyu, Changzheng Wei, Yanhao Wang +6
The query optimizer is a fundamental component of database management systems that determines the most efficient execution strategy for a given query by evaluating alternative quer…
BugForge: Constructing and Utilizing DBMS Bug Repository to Enhance DBMS Testing
Dawei Li, Qifan Liu, Yuxiao Guo +7
DBMSs are complex systems prone to bugs that may lead to system failures or compromise data integrity. Establishing unified DBMS bug repositories is crucial for systematically orga…
When Fuzzing Meets LLMs: Challenges and Opportunities
Yu Jiang, Jie Liang, Fuchen Ma +8
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. I…
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
Mingzhe Wang, Zhiyong Wu, Xinyi Xu +4
As an infrastructure for data persistence and analysis, Database Management Systems (DBMSs) are the cornerstones of modern enterprise software. To improve their correctness, the in…