3 papers
cs.SE2025
A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks
Zhuowen Yin, Cuifeng Gao, Chunsong Fan +3
Unlike traditional automation tools or static LLM-based systems, agents combine decision-making and tool utilization to accomplish complex tasks, showing great potential in softwar…
cs.SE2025
Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
Yan Li, Wenzhang Yang, Yuekun Wang +4
Fuzzing a library requires experts to understand the library usage well and craft high-quality fuzz drivers, which is tricky and tedious. Therefore, many techniques have been propo…
cs.SE2025
Towards Large Language Model Guided Kernel Direct Fuzzing
Xie Li, Zhaoyue Yuan, Zhenduo Zhang +2
Direct kernel fuzzing is a targeted approach that focuses on specific areas of the kernel, effectively addressing the challenges of frequent updates and the inherent complexity of…