33 citations · 58 across the 6 of their papers we have counts for
6 papers
Research Artifacts in Software Engineering Publications: Status and Trends
Mugeng Liu, Xiaolong Huang, Wei He +5
The Software Engineering (SE) community has been embracing the open science policy and encouraging researchers to disclose artifacts in their publications. However, the status and…
Large Language Models for Software Engineering: Survey and Open Problems
Angela Fan, Beliz Gokkaya, Mark Harman +4
This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LL…
ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair
Yonghao Wu, Zheng Li, Jie M. Zhang +1
With the growing interest on Large Language Models (LLMs) for fault localization and program repair, ensuring the integrity and generalizability of the LLM-based methods becomes pa…
Large Language Models in Fault Localisation
Yonghao Wu, Zheng Li, Jie M. Zhang +3
Large Language Models (LLMs) have shown promise in multiple software engineering tasks including code generation, program repair, code summarisation, and test generation. Fault loc…
COCO: Testing Code Generation Systems via Concretized Instructions
Ming Yan, Junjie Chen, Jie M. Zhang +3
Code generation systems have been extensively developed in recent years to generate source code based on natural language instructions. However, despite their advancements, these s…
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao +3
Prior studies have demonstrated the effectiveness of Deep Learning (DL) in automated software vulnerability detection. Graph Neural Networks (GNNs) have proven effective in learnin…