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 …

Software testing with large language models: Survey, landscape, and vision

J Wang, Y Huang, C Chen, Z Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Is ChatGPT the ultimate programming assistant--how far is it?

H Tian, W Lu, TO Li, X Tang, SC Cheung… - arxiv preprint arxiv …, 2023 - arxiv.org
Recently, the ChatGPT LLM has received great attention: it can be used as a bot for
discussing source code, prompting it to suggest changes, provide descriptions or even …

Autocoderover: Autonomous program improvement

Y Zhang, H Ruan, Z Fan, A Roychoudhury - Proceedings of the 33rd …, 2024 - dl.acm.org
Researchers have made significant progress in automating the software development
process in the past decades. Automated techniques for issue summarization, bug …

Refining chatgpt-generated code: Characterizing and mitigating code quality issues

Y Liu, T Le-Cong, R Widyasari… - ACM Transactions on …, 2024 - dl.acm.org
Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …

Retrieval-based prompt selection for code-related few-shot learning

N Nashid, M Sintaha, A Mesbah - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Large language models trained on massive code corpora can generalize to new tasks
without the need for task-specific fine-tuning. In few-shot learning, these models take as …

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 …

How effective are neural networks for fixing security vulnerabilities

Y Wu, N Jiang, HV Pham, T Lutellier, J Davis… - Proceedings of the …, 2023 - dl.acm.org
Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of
techniques have shown promise:(1) large code language models (LLMs) that have been pre …

When chatgpt meets smart contract vulnerability detection: How far are we?

C Chen, J Su, J Chen, Y Wang, T Bi, J Yu… - ACM Transactions on …, 2023 - dl.acm.org
With the development of blockchain technology, smart contracts have become an important
component of blockchain applications. Despite their crucial role, the development of smart …

Large language models for cyber security: A systematic literature review

HX Xu, SA Wang, N Li, K Wang, Y Zhao, K Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …