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 …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arxiv preprint arxiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Self-collaboration code generation via chatgpt

Y Dong, X Jiang, Z **, G Li - ACM Transactions on Software …, 2024 - dl.acm.org
Although large language models (LLMs) have demonstrated remarkable code-generation
ability, they still struggle with complex tasks. In real-world software development, humans …

Large language models for software engineering: Survey and open problems

A Fan, B Gokkaya, M Harman… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
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 …

Generalized planning in pddl domains with pretrained large language models

T Silver, S Dan, K Srinivas, JB Tenenbaum… - Proceedings of the …, 2024 - ojs.aaai.org
Recent work has considered whether large language models (LLMs) can function as
planners: given a task, generate a plan. We investigate whether LLMs can serve as …

Codeplan: Repository-level coding using llms and planning

R Bairi, A Sonwane, A Kanade, A Iyer… - Proceedings of the …, 2024 - dl.acm.org
Software engineering activities such as package migration, fixing error reports from static
analysis or testing, and adding type annotations or other specifications to a codebase …

Towards efficient fine-tuning of language models with organizational data for automated software review

M Nashaat, J Miller - IEEE Transactions on Software …, 2024 - ieeexplore.ieee.org
Large language models like BERT and GPT possess significant capabilities and potential
impacts across various applications. Software engineers often use these models for code …

Generalization or memorization: Data contamination and trustworthy evaluation for large language models

Y Dong, X Jiang, H Liu, Z **, B Gu, M Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent statements about the impressive capabilities of large language models (LLMs) are
usually supported by evaluating on open-access benchmarks. Considering the vast size and …

A survey of large language models for code: Evolution, benchmarking, and future trends

Z Zheng, K Ning, Y Wang, J Zhang, D Zheng… - arxiv preprint arxiv …, 2023 - arxiv.org
General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …

From llms to llm-based agents for software engineering: A survey of current, challenges and future

H **, L Huang, H Cai, J Yan, B Li, H Chen - arxiv preprint arxiv …, 2024 - arxiv.org
With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …