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Recent advances in large language models (LLMs) have demonstrated impressive capabilities in code-related tasks, such as code generation and automated program repair. Despite their promising performance, most existing approaches for code…

Software Engineering · Computer Science 2025-09-03 Yicong Zhao , Shisong Chen , Jiacheng Zhang , Zhixu Li

Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension. However, due to the great cost of authoring with the comments, many code projects do not contain adequate comments.…

Artificial Intelligence · Computer Science 2017-11-28 Wenhao Zheng , Hong-Yu Zhou , Ming Li , Jianxin Wu

This paper focuses on Code Generation task that aims at generating relevant code fragments according to given natural language descriptions. In the process of software development, developers often encounter two scenarios. One is requested…

Software Engineering · Computer Science 2024-04-19 Zezhou Yang , Sirong Chen , Cuiyun Gao , Zhenhao Li , Ge Li , Michael Lyu

Large language models have shown good performances in generating code to meet human requirements. However, human requirements expressed in natural languages can be vague, incomplete, and ambiguous, leading large language models to…

Software Engineering · Computer Science 2023-11-02 Zejun Wang , Jia Li , Ge Li , Zhi Jin

Program refinement involves correctness-preserving transformations from formal high-level specification statements into executable programs. Traditional verification tool support for program refinement is highly interactive and lacks…

Software Engineering · Computer Science 2024-06-28 Yufan Cai , Zhe Hou , Xiaokun Luan , David Miguel Sanan Baena , Yun Lin , Jun Sun , Jin Song Dong

Producing code of good quality is an essential skill in software development. Code quality is an aspect of software quality that concerns the directly observable properties of code, such as decomposition, modularization, and code flow. Code…

Software Engineering · Computer Science 2024-11-06 Eduardo Carneiro Oliveira , Hieke Keuning , Johan Jeuring

Large Language Models (LLMs) have demonstrated unprecedented capability in code generation. However, LLM-generated code is still plagued with a wide range of functional errors, especially for complex programming tasks that LLMs have not…

Software Engineering · Computer Science 2025-05-13 Yifeng Di , Tianyi Zhang

Code generation is to automatically generate source code conforming to a given programming specification, which has received extensive attention especially with the development of large language models (LLMs). Due to the inherent difficulty…

Software Engineering · Computer Science 2024-12-20 Zhao Tian , Junjie Chen , Xiangyu Zhang

Code review is an essential part to software development lifecycle since it aims at guaranteeing the quality of codes. Modern code review activities necessitate developers viewing, understanding and even running the programs to assess…

Software Engineering · Computer Science 2022-10-12 Zhiyu Li , Shuai Lu , Daya Guo , Nan Duan , Shailesh Jannu , Grant Jenks , Deep Majumder , Jared Green , Alexey Svyatkovskiy , Shengyu Fu , Neel Sundaresan

The rapid advancement of large language models (LLMs) has driven their adoption across diverse domains, yet their ability to generate harmful content poses significant safety challenges. While extensive research has focused on mitigating…

Artificial Intelligence · Computer Science 2025-08-29 Yuanzhe Shen , Zisu Huang , Zhengkang Guo , Yide Liu , Guanxu Chen , Ruicheng Yin , Xiaoqing Zheng , Xuanjing Huang

Code review is considered a key process in the software industry for minimizing bugs and improving code quality. Inspection of review process effectiveness and continuous improvement can boost development productivity. Such inspection is a…

Software Engineering · Computer Science 2023-07-11 Saifullah Mahbub , Md. Easin Arafat , Chowdhury Rafeed Rahman , Zannatul Ferdows , Masum Hasan

Sampling diverse programs from a code language model and reranking with model likelihood is a popular method for code generation but it is prone to preferring degenerate solutions. Inspired by collaborative programming, we propose…

Machine Learning · Computer Science 2022-11-30 Tianyi Zhang , Tao Yu , Tatsunori B. Hashimoto , Mike Lewis , Wen-tau Yih , Daniel Fried , Sida I. Wang

Code generation has attracted increasing attention with the rise of Large Language Models (LLMs). Many studies have developed powerful code LLMs by synthesizing code-related instruction data and applying supervised fine-tuning. However,…

Computation and Language · Computer Science 2025-08-22 Changzhi Zhou , Xinyu Zhang , Dandan Song , Xiancai Chen , Wanli Gu , Huipeng Ma , Yuhang Tian , Mengdi Zhang , Linmei Hu

Thinking Large Language Models (LLMs) generate explicit intermediate reasoning traces before final answers, potentially improving transparency, interpretability, and solution accuracy for code generation. However, the quality of these…

Artificial Intelligence · Computer Science 2025-11-11 Haoran Xue , Gias Uddin , Song Wang

Generating natural language explanations for recommendations has become increasingly important in recommender systems. Traditional approaches typically treat user reviews as ground truth for explanations and focus on improving review…

Information Retrieval · Computer Science 2025-02-18 Jingsen Zhang , Zihang Tian , Xueyang Feng , Xu Chen

Code generation aims to automatically generate source code from high-level task specifications, which can significantly increase productivity of software engineering. Recently, approaches based on large language models (LLMs) have shown…

Artificial Intelligence · Computer Science 2023-05-19 Xin-Ye Li , Jiang-Tian Xue , Zheng Xie , Ming Li

Re-ranking models refine item recommendation lists generated by the prior global ranking model, which have demonstrated their effectiveness in improving the recommendation quality. However, most existing re-ranking solutions only learn from…

Information Retrieval · Computer Science 2023-03-14 Zhuoyi Lin , Sheng Zang , Rundong Wang , Zhu Sun , J. Senthilnath , Chi Xu , Chee-Keong Kwoh

Code comments serve a crucial role in software development for documenting functionality, clarifying design choices, and assisting with issue tracking. They capture developers' insights about the surrounding source code, serving as an…

Software Engineering · Computer Science 2026-01-28 Thomas Borsani , Andrea Rosani , Giuseppe Di Fatta

Identifying and addressing security issues during the early phase of the development lifecycle is critical for mitigating the long-term negative impacts on software systems. Code review serves as an effective practice that enables…

Software Engineering · Computer Science 2025-10-31 Fang Liu , Simiao Liu , Yinghao Zhu , Xiaoli Lian , Li Zhang

Formal specification techniques allow expressing idealized specifications, which abstract from restrictions that may arise in implementations. However, partial implementations are universal in software development due to practical…

Logic in Computer Science · Computer Science 2013-05-28 Emil Sekerinski , Tian Zhang
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