1 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
Pre-trained Model-based Actionable Warning Identification: A Feasibility Study
Xiuting Ge, Chunrong Fang, Quanjun Zhang +8
Actionable Warning Identification (AWI) plays a pivotal role in improving the usability of static code analyzers. Currently, Machine Learning (ML)-based AWI approaches, which mainl…
A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
Quanjun Zhang, Tongke Zhang, Juan Zhai +4
Large Language Models (LLMs) have been gaining increasing attention and demonstrated promising performance across a variety of Software Engineering (SE) tasks, such as Automated Pr…
GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction
Quanjun Zhang, Chunrong Fang, Tongke Zhang +3
Automated program repair (APR) aims to fix software bugs without human intervention and template-based APR has been widely investigated with promising results. However, it is chall…
Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
Quanjun Zhang, Chunrong Fang, Bowen Yu +3
Various approaches are proposed to help under-resourced security researchers to detect and analyze software vulnerabilities. It is still incredibly time-consuming and labor-intensi…