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20212026
most citedCodeT: Code Generation with Generated Tests

65 citations · 98 across the 16 of their papers we have counts for

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Showing cs.SEShow all

6 papers · 1 filter

cs.SE2025

R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking

Zhen Yang, Hongyi Lin, Xiao Yu +5

Code-Comment Synchronization (CCS) aims to synchronize the comments with code changes in an automated fashion, thereby significantly reducing the workload of developers during soft…

cs.SE2024

Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review

Fengji Zhang, Zexian Zhang, Jacky Wai Keung +4

Code Smell Detection (CSD) plays a crucial role in improving software quality and maintainability. And Deep Learning (DL) techniques have emerged as a promising approach for CSD du…

cs.SE2023

SoTaNa: The Open-Source Software Development Assistant

Ensheng Shi, Fengji Zhang, Yanlin Wang +6

Software development plays a crucial role in driving innovation and efficiency across modern societies. To meet the demands of this dynamic field, there is a growing need for an ef…

cs.SE2023★ 2 cited

Private-Library-Oriented Code Generation with Large Language Models

Daoguang Zan, Bei Chen, Yongshun Gong +6

Large language models (LLMs), such as Codex and GPT-4, have recently showcased their remarkable code generation abilities, facilitating a significant boost in coding efficiency. Th…

cs.SE2022★ 4 cited

Large Language Models Meet NL2Code: A Survey

Daoguang Zan, Bei Chen, Fengji Zhang +5

The task of generating code from a natural language description, or NL2Code, is considered a pressing and significant challenge in code intelligence. Thanks to the rapid developmen…

cs.SE2022★ 11 cited

Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer

Fengji Zhang, Jin Liu, Yao Wan +3

Stack Overflow is one of the most popular programming communities where developers can seek help for their encountered problems. Nevertheless, if inexperienced developers fail to d…