Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Towards an understanding of large language models in software engineering tasks

Z Zheng, K Ning, Q Zhong, J Chen, W Chen… - Empirical Software …, 2025 - Springer
Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

Exploring and unleashing the power of large language models in automated code translation

Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu… - Proceedings of the …, 2024 - dl.acm.org
Code translation tools, namely transpilers, are developed for automatic source-to-source
translation. Latest learning-based transpilers have shown impressive enhancement against …

Ai agents under threat: A survey of key security challenges and future pathways

Z Deng, Y Guo, C Han, W Ma, J **ong, S Wen… - ACM Computing …, 2024 - dl.acm.org
An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …

Generative Artificial Intelligence for Software Engineering--A Research Agenda

A Nguyen-Duc, B Cabrero-Daniel, A Przybylek… - arxiv preprint arxiv …, 2023 - arxiv.org
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in
software development, offering assistance to various managerial and technical project …

Source code summarization in the era of large language models

W Sun, Y Miao, Y Li, H Zhang, C Fang, Y Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

[PDF][PDF] Unifying the perspectives of nlp and software engineering: A survey on language models for code

Z Zhang, C Chen, B Liu, C Liao, Z Gong… - arxiv preprint arxiv …, 2023 - simg.baai.ac.cn
In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

Marscode agent: Ai-native automated bug fixing

Y Liu, P Gao, X Wang, J Liu, Y Shi, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advances in large language models (LLMs) have shown significant potential to
automate various software development tasks, including code completion, test generation …

Esale: Enhancing code-summary alignment learning for source code summarization

C Fang, W Sun, Y Chen, X Chen, Z Wei… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
(Source) code summarization aims to automatically generate succinct natural language
summaries for given code snippets. Such summaries play a significant role in promoting …

A comparative analysis of large language models for code documentation generation

SS Dvivedi, V Vijay, SLR Pujari, S Lodh… - Proceedings of the 1st …, 2024 - dl.acm.org
This paper presents a comprehensive comparative analysis of Large Language Models
(LLMs) for generation of code documentation. Code documentation is an essential part of …