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Code reviews are an integral part of software development and have been recognized as a crucial practice for minimizing bugs and favouring higher code quality. They serve as an important checkpoint before committing code and play an…

In recent years, large language models (LLMs) have emerged as powerful tools with potential applications in various fields, including software engineering. Within the scope of this research, we evaluate five different state-of-the-art LLMs…

计算与语言 · 计算机科学 2024-09-09 Luis Mayer , Christian Heumann , Matthias Aßenmacher

Background and Context: Over the past year, large language models (LLMs) have taken the world by storm. In computing education, like in other walks of life, many opportunities and threats have emerged as a consequence. Objectives: In this…

计算机与社会 · 计算机科学 2023-06-12 Arto Hellas , Juho Leinonen , Sami Sarsa , Charles Koutcheme , Lilja Kujanpää , Juha Sorva

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

With the emergence of Large Language Models (LLMs), there has been a significant improvement in the programming capabilities of models, attracting growing attention from researchers. Evaluating the programming capabilities of LLMs is…

Large language models (LLMs) are a new and powerful tool for a wide span of applications involving natural language and demonstrate impressive code generation abilities. The goal of this work is to automatically generate tests and use these…

人工智能 · 计算机科学 2024-03-12 Christian Munley , Aaron Jarmusch , Sunita Chandrasekaran

The legal field already uses various large language models (LLMs) in actual applications, but their quantitative performance and reasons for it are underexplored. We evaluated several open-source and proprietary LLMs -- including…

计算机与社会 · 计算机科学 2025-09-12 Bhakti Khera , Rezvan Alamian , Pascal A. Scherz , Stephan M. Goetz

Large Language Models (LLMs) have gained attention for addressing coding problems, but their effectiveness in fixing code maintainability remains unclear. This study evaluates LLMs capability to resolve 127 maintainability issues from 10…

软件工程 · 计算机科学 2025-02-05 Henrique Nunes , Eduardo Figueiredo , Larissa Rocha , Sarah Nadi , Fischer Ferreira , Geanderson Esteves

Since the release of ChatGPT in November 2022, large language models (LLMs) have seen considerable success, including in the open-source community, with many open-weight models available. However, the requirements to deploy such a service…

性能 · 计算机科学 2025-06-13 Yannis Bendi-Ouis , Dan Dutartre , Xavier Hinaut

Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the results produced by these models focus on correctness and…

软件工程 · 计算机科学 2025-02-05 Lola Solovyeva , Sophie Weidmann , Fernando Castor

AI-powered coding assistants such as GitHub's Copilot and OpenAI's ChatGPT have achieved notable success in automating code generation. However, these tools rely on pre-trained Large Language Models (LLMs) that are typically trained on…

软件工程 · 计算机科学 2025-09-30 Junjie Li , Fazle Rabbi , Cheng Cheng , Aseem Sangalay , Yuan Tian , Jinqiu Yang

This research addresses the time-consuming and error-prone nature of manual code compliance checking in Building Information Modeling (BIM) by introducing a Large Language Model (LLM)-driven approach to semi-automate this critical process.…

软件工程 · 计算机科学 2025-06-26 Soumya Madireddy , Lu Gao , Zia Din , Kinam Kim , Ahmed Senouci , Zhe Han , Yunpeng Zhang

Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This…

计算与语言 · 计算机科学 2025-10-28 Juyong Jiang , Fan Wang , Jiasi Shen , Sungju Kim , Sunghun Kim

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

软件工程 · 计算机科学 2023-08-10 Alessio Buscemi

Natural language to code generation is an important application area of LLMs and has received wide attention from the community. The majority of relevant studies have exclusively concentrated on increasing the quantity and functional…

机器学习 · 计算机科学 2023-11-28 Naman Jain , Tianjun Zhang , Wei-Lin Chiang , Joseph E. Gonzalez , Koushik Sen , Ion Stoica

The rapid evolution of large language models (LLMs) has opened new possibilities for automating various tasks in software development. This paper evaluates the capabilities of the Llama 2-70B model in automating these tasks for scientific…

软件工程 · 计算机科学 2025-07-09 Patrick Diehl , Nojoud Nader , Maxim Moraru , Steven R. Brandt

Recent studies on software tool manipulation with large language models (LLMs) mostly rely on closed model APIs. The industrial adoption of these models is substantially constrained due to the security and robustness risks in exposing…

计算与语言 · 计算机科学 2023-05-29 Qiantong Xu , Fenglu Hong , Bo Li , Changran Hu , Zhengyu Chen , Jian Zhang

Deep learning (DL)-based code completion tools have transformed software development by enabling advanced code generation. These tools leverage models trained on vast amounts of code from numerous repositories, capturing general coding…

软件工程 · 计算机科学 2025-03-19 Alessandro Giagnorio , Alberto Martin-Lopez , Gabriele Bavota

This paper presents a comprehensive performance evaluation of Large Language Models (LLMs) in solving programming challenges from Leetcode, a widely used platform for algorithm practice and technical interviews. We began by crawling the…

软件工程 · 计算机科学 2025-03-04 Lun Wang , Chuanqi Shi , Shaoshui Du , Yiyi Tao , Yixian Shen , Hang Zheng , Yanxin Shen , Xinyu Qiu

Many companies use large language models (LLMs) offered as a service, like OpenAI's GPT-4, to create AI-enabled product experiences. Along with the benefits of ease-of-use and shortened time-to-solution, this reliance on proprietary…