Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Towards an understanding of large language models in software engineering tasks
Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …
due to their astounding performance in text generation and reasoning tasks. Derivative …
Exploring and unleashing the power of large language models in automated code translation
Code translation tools, namely transpilers, are developed for automatic source-to-source
translation. Latest learning-based transpilers have shown impressive enhancement against …
translation. Latest learning-based transpilers have shown impressive enhancement against …
Ai agents under threat: A survey of key security challenges and future pathways
An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …
Generative Artificial Intelligence for Software Engineering--A Research Agenda
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in
software development, offering assistance to various managerial and technical project …
software development, offering assistance to various managerial and technical project …
Source code summarization in the era of large language models
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …
automatic (source) code summarization techniques have been proposed to generate a …
[PDF][PDF] Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong… - arxiv preprint arxiv …, 2023 - simg.baai.ac.cn
In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
Marscode agent: Ai-native automated bug fixing
Recent advances in large language models (LLMs) have shown significant potential to
automate various software development tasks, including code completion, test generation …
automate various software development tasks, including code completion, test generation …
Esale: Enhancing code-summary alignment learning for source code summarization
(Source) code summarization aims to automatically generate succinct natural language
summaries for given code snippets. Such summaries play a significant role in promoting …
summaries for given code snippets. Such summaries play a significant role in promoting …
A comparative analysis of large language models for code documentation generation
SS Dvivedi, V Vijay, SLR Pujari, S Lodh… - Proceedings of the 1st …, 2024 - dl.acm.org
This paper presents a comprehensive comparative analysis of Large Language Models
(LLMs) for generation of code documentation. Code documentation is an essential part of …
(LLMs) for generation of code documentation. Code documentation is an essential part of …