A Systematic Literature Review on Large Language Models for Automated Program Repair

Q Zhang, C Fang, Y Xie, YX Ma, W Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Automated Program Repair (APR) attempts to patch software bugs and reduce manual
debugging efforts. Very recently, with the advances in Large Language Models (LLMs), an …

Towards Translating Real-World Code with LLMs: A Study of Translating to Rust

HF Eniser, H Zhang, C David, M Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) show promise in code translation-the task of translating
code written in one programming language to another language-due to their ability to write …

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

X Yu, L Liu, X Hu, JW Keung, J Liu, X Xia - arXiv preprint arXiv:2405.12641, 2024 - arxiv.org
With the increasing utilization of large language models such as ChatGPT during software
development, it has become crucial to verify the quality of code content it generates. Recent …

How to Understand Whole Software Repository?

Y Ma, Q Yang, R Cao, B Li, F Huang, Y Li - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, Large Language Model (LLM) based agents have advanced the significant
development of Automatic Software Engineering (ASE). Although verified effectiveness, the …

An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications

M Alhanahnah, MR Hasan, H Bagheri - arXiv preprint arXiv:2404.11050, 2024 - arxiv.org
Automatic Program Repair (APR) has garnered significant attention as a practical research
domain focused on automatically fixing bugs in programs. While existing APR techniques …