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 …

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 …

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 …

LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation

S Ouyang, JM Zhang, M Harman, M Wang - arXiv preprint arXiv …, 2023 - arxiv.org
There has been a recent explosion of research on Large Language Models (LLMs) for
software engineering tasks, in particular code generation. However, results from LLMs can …

[HTML][HTML] Employing large language models in survey research

BJ Jansen, S Jung, J Salminen - Natural Language Processing Journal, 2023 - Elsevier
This article discusses the promising potential of employing large language models (LLMs)
for survey research, including generating responses to survey items. LLMs can address …

An empirical study of the non-determinism of chatgpt in code generation

S Ouyang, JM Zhang, M Harman, M Wang - ACM Transactions on …, 2024 - dl.acm.org
There has been a recent explosion of research on Large Language Models (LLMs) for
software engineering tasks, in particular code generation. However, results from LLMs can …

Automatic code summarization via chatgpt: How far are we?

W Sun, C Fang, Y You, Y Miao, Y Liu, Y Li… - arXiv preprint arXiv …, 2023 - arxiv.org
To support software developers in understanding and maintaining programs, various
automatic code summarization techniques have been proposed to generate a concise …

How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations

EA AlOmar, A Venkatakrishnan, MW Mkaouer… - Proceedings of the 21st …, 2024 - dl.acm.org
Large Language Models (LLMs), like ChatGPT, have gained widespread popularity and
usage in various software engineering tasks, including refactoring, testing, code review, and …

Large language models in fault localisation

Y Wu, Z Li, JM Zhang, M Papadakis, M Harman… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have shown promise in multiple software engineering tasks
including code generation, code summarisation, test generation and code repair. Fault …

[PDF][PDF] CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology

Z Rasheed, MA Sami, KK Kemell… - arXiv preprint arXiv …, 2024 - researchgate.net
ABSTRACT Large Language Models (LLMs) and Generative Pre-trained Transformers
(GPTs) are reshaping the field of Software Engineering (SE). Existing LLM-based multi …