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 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 …

Source code summarization in the era of large language models

W Sun, Y Miao, Y Li, H Zhang, C Fang, Y Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

A catalog of data smells for coding tasks

A Vitale, R Oliveto, S Scalabrino - ACM Transactions on Software …, 2024 - dl.acm.org
Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …

Search-based llms for code optimization

S Gao, C Gao, W Gu, M Lyu - 2025 IEEE/ACM 47th International …, 2024 - computer.org
The code written by developers usually suffers from efficiency problems and contain various
performance bugs. These inefficiencies necessitate the research of automated refactoring …

Automatic programming: Large language models and beyond

MR Lyu, B Ray, A Roychoudhury, SH Tan… - ACM Transactions on …, 2024 - dl.acm.org
Automatic programming has seen increasing popularity due to the emergence of tools like
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …

Scale: Constructing structured natural language comment trees for software vulnerability detection

XC Wen, C Gao, S Gao, Y **ao, MR Lyu - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Recently, there has been a growing interest in automatic software vulnerability detection.
Pre-trained model-based approaches have demonstrated superior performance than other …

[PDF][PDF] Do neutral prompts produce insecure code? formai-v2 dataset: Labelling vulnerabilities in code generated by large language models

N Tihanyi, T Bisztray, MA Ferrag, R Jain… - arxiv preprint arxiv …, 2024 - researchgate.net
This study provides a comparative analysis of state-of-the-art large language models
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How

C Wang, S Gao, C Gao, W Wang, CY Chong… - Proceedings of the 39th …, 2024 - dl.acm.org
API suggestion is a critical task in modern software development, assisting programmers by
predicting and recommending third-party APIs based on the current context. Recent …

How secure is AI-generated code: a large-scale comparison of large language models

N Tihanyi, T Bisztray, MA Ferrag, R Jain… - Empirical Software …, 2025 - Springer
This study compares state-of-the-art Large Language Models (LLMs) on their tendency to
generate vulnerabilities when writing C programs using a neutral zero-shot prompt. Tihanyi …