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 …

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence

C Wang, Y Yang, C Gao, Y Peng, H Zhang… - Proceedings of the 30th …, 2022‏ - dl.acm.org
Pre-trained models have been shown effective in many code intelligence tasks. These
models are pre-trained on large-scale unlabeled corpus and then fine-tuned in downstream …

Data quality for software vulnerability datasets

R Croft, MA Babar, MM Kholoosi - 2023 IEEE/ACM 45th …, 2023‏ - ieeexplore.ieee.org
The use of learning-based techniques to achieve automated software vulnerability detection
has been of longstanding interest within the software security domain. These data-driven …

Deep learning-based software engineering: progress, challenges, and opportunities

X Chen, X Hu, Y Huang, H Jiang, W Ji, Y Jiang… - Science China …, 2025‏ - Springer
Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Prompt tuning in code intelligence: An experimental evaluation

C Wang, Y Yang, C Gao, Y Peng… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
Pre-trained models have been shown effective in many code intelligence tasks, such as
automatic code summarization and defect prediction. These models are pre-trained on large …

On the reliability and explainability of language models for program generation

Y Liu, C Tantithamthavorn, Y Liu, L Li - ACM Transactions on Software …, 2024‏ - dl.acm.org
Recent studies have adopted pre-trained language models, such as CodeT5 and CodeGPT,
for automated program generation tasks like code generation, repair, and translation …