4 citations · 10 across the 15 of their papers we have counts for
9 papers · 1 filter
CODEFUSE-DEBENCH: An Empirical Study on Readability, Recompilability, and Functionality
Puzhuo Liu, Yuhan Huang, Jianlei Chi +2
Binary decompilation aims to recover binaries into high-level source code, but existing evaluations mainly rely on syntactic similarity or single-axis readability metrics, which fa…
Boosting Pointer Analysis With LLM-Enhanced Allocation Function Detection
Baijun Cheng, Kailong Wang, Ling Shi +5
Pointer analysis is foundational for many static analysis tasks, yet its effectiveness is often hindered by imprecise modeling of heap allocations, particularly in C/C++ programs w…
NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories
Xinfang Chen, Siyang Xiao, Xianying Zhu +6
Code editing is a frequent yet cognitively demanding task in software development. Existing AI-powered tools often disrupt developer flow by requiring explicit natural language ins…
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
Hanyang Guo, Xiaoheng Xie, Hong-Ning Dai +4
Automated Program Repair (APR) is essential for ensuring software reliability and quality while enhancing efficiency and reducing developers' workload. Although rule-based and lear…
HardRace: A Dynamic Data Race Monitor for Production Use
Xudong Sun, Zhuo Chen, Jingyang Shi +5
Data races are critical issues in multithreaded program, leading to unpredictable, catastrophic and difficult-to-diagnose problems. Despite the extensive in-house testing, data rac…
REPOFUSE: Repository-Level Code Completion with Fused Dual Context
Ming Liang, Xiaoheng Xie, Gehao Zhang +6
The success of language models in code assistance has spurred the proposal of repository-level code completion as a means to enhance prediction accuracy, utilizing the context from…