[HTML][HTML] Fine-tuning and prompt engineering for large language models-based code review automation

C Pornprasit, C Tantithamthavorn - Information and Software Technology, 2024 - Elsevier
Context: The rapid evolution of Large Language Models (LLMs) has sparked significant
interest in leveraging their capabilities for automating code review processes. Prior studies …

Exploring the potential of chatgpt in automated code refinement: An empirical study

Q Guo, J Cao, X **e, S Liu, X Li, B Chen… - Proceedings of the 46th …, 2024 - dl.acm.org
Code review is an essential activity for ensuring the quality and maintainability of software
projects. However, it is a time-consuming and often error-prone task that can significantly …

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 …

Generative Artificial Intelligence for Software Security Analysis: Fundamentals, Applications, and Challenges

A Ding, G Li, X Yi, X Lin, J Li, C Zhang - IEEE Software, 2024 - ieeexplore.ieee.org
Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges
Page 1 46 IEEE SOFTWARE | PUBLISHED BY THE IEEE COMPUTER SOCIETY 0740-7459/24©2024IEEE …

Codeultrafeedback: An llm-as-a-judge dataset for aligning large language models to coding preferences

M Weyssow, A Kamanda, X Zhou… - arxiv preprint arxiv …, 2024 - arxiv.org
Evaluating the alignment of large language models (LLMs) with user-defined coding
preferences is a challenging endeavour that requires a deep assessment of LLMs' outputs …

Co-audit: tools to help humans double-check AI-generated content

AD Gordon, C Negreanu, J Cambronero… - arxiv preprint arxiv …, 2023 - arxiv.org
Users are increasingly being warned to check AI-generated content for correctness. Still, as
LLMs (and other generative models) generate more complex output, such as summaries …

CodeAgent: Autonomous Communicative Agents for Code Review

X Tang, K Kim, Y Song, C Lothritz, B Li… - Proceedings of the …, 2024 - aclanthology.org
Code review, which aims at ensuring the overall quality and reliability of software, is a
cornerstone of software development. Unfortunately, while crucial, Code review is a labor …

Collaborative agents for software engineering

D Tang, Z Chen, K Kim, Y Song, H Tian… - arxiv e …, 2024 - ui.adsabs.harvard.edu
Code review is a heavily collaborative process, which aims at ensuring the overall quality
and reliability of software. While it provides massive benefits, the implementation of code …

Pscvfinder: a prompt-tuning based framework for smart contract vulnerability detection

L Yu, J Lu, X Liu, L Yang, F Zhang… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
With the increasing security issues in the blockchain, smart contract vulnerability detection
has gradually become the focus of research. Recently, many approaches have been …

PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models

J He, B Xu, Z Yang, DG Han, C Yang, J Liu… - Empirical Software …, 2025 - Springer
Stack Overflow is one of the most influential Software Question & Answer (SQA) websites,
hosting millions of programming-related questions and answers. Tags play a critical role in …