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 …

[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

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 …

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 …

Large language models meet nl2code: A survey

D Zan, B Chen, F Zhang, D Lu, B Wu, B Guan… - arxiv preprint arxiv …, 2022 - arxiv.org
The task of generating code from a natural language description, or NL2Code, is considered
a pressing and significant challenge in code intelligence. Thanks to the rapid development …

Evaluating large language models in class-level code generation

X Du, M Liu, K Wang, H Wang, J Liu, Y Chen… - Proceedings of the …, 2024 - dl.acm.org
Recently, many large language models (LLMs) have been proposed, showing advanced
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …

Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions

Z Liu, C Chen, J Wang, M Chen, B Wu, X Che… - Proceedings of the …, 2024 - dl.acm.org
Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality,
especially as mobile applications have become an integral part of our daily lives. Despite …

Repairagent: An autonomous, llm-based agent for program repair

I Bouzenia, P Devanbu, M Pradel - arxiv preprint arxiv:2403.17134, 2024 - arxiv.org
Automated program repair has emerged as a powerful technique to mitigate the impact of
software bugs on system reliability and user experience. This paper introduces RepairAgent …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

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 …