52 citations · 56 across the 5 of their papers we have counts for
5 papers
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
Jiadong Feng, Wei Li, Suhuang Wu +4
Software development is a repetitive task, as developers usually reuse or get inspiration from existing implementations. Code search, which refers to the retrieval of relevant code…
On the Effectiveness of Large Language Models in Domain-Specific Code Generation
Xiaodong Gu, Meng Chen, Yalan Lin +6
Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire…
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance
Sheng Zhang, Hui Li, Yanlin Wang +4
Code search engine is an essential tool in software development. Many code search methods have sprung up, focusing on the overall ranking performance of code search. In this paper,…
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
Chenyuan Zhang, Yanlin Wang, Zhao Wei +4
Issue-commit links, as a type of software traceability links, play a vital role in various software development and maintenance tasks. However, they are typically deficient, as dev…
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Hao Liu, Yanlin Wang, Zhao Wei +4
Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refa…