3 papers
cs.SE2026
MASFuzzer: Fuzz Driver Generation and Adaptive Scheduling via Multidimensional API Sequences
Xingyu Liu, Zengqin Huang, Xiang Gao +1
Fuzz testing of software libraries relies on fuzz drivers to invoke library APIs. Traditionally, these drivers are written manually by developers - a process that is time-consuming…
cs.SE2026
Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
Zhe Zhang, Runlin Liu, Aishan Liu +3
The evaluation of code-generating Large Language Models (LLMs) is fundamentally constrained by two intertwined challenges: a reliance on static, easily contaminated problem sources…
cs.SE2024
LLM-based Unit Test Generation via Property Retrieval
Zhe Zhang, Xingyu Liu, Yuanzhang Lin +3
Automated unit test generation has been widely studied, with Large Language Models (LLMs) recently showing significant potential. Moreover, in the context of unit test generation,…