6 citations · 21 across the 8 of their papers we have counts for
8 papers
An Empirical Study for Android-to-OpenHarmony GUI Test Migration
Yakun Zhang, Xinjia Chen, Yiyun Chen +6
To reduce the substantial engineering effort required to test the corresponding applications from Android to OpenHarmony, migrating existing GUI test cases has become a critical pr…
From Custom Logic to APIs: Understanding and Recommending API Replacement Refactorings
Bridget Nyirongo, Yanjie Jiang, Yuxia Zhang +1
Software refactoring is essential for maintaining code quality. However, API replacement refactoring, which replaces custom logic with API calls, remains underexplored. Existing re…
LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM
Yuxin Zhang, Yuxia Zhang, Zeyu Sun +2
Code review is critical for ensuring software quality and maintainability. With the rapid growth in software scale and complexity, code review has become a bottleneck in the develo…
Evaluating Generated Commit Messages with Large Language Models
Qunhong Zeng, Yuxia Zhang, Zexiong Ma +5
Commit messages are essential in software development as they serve to document and explain code changes. Yet, their quality often falls short in practice, with studies showing sig…
Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs via LLM-Based Agent
Taiming Wang, Yanjie Jiang, Chunhao Dong +2
Copy-paste-modify is a widespread and pragmatic practice in software development, where developers adapt reused code snippets, sourced from platforms such as Stack Overflow, GitHub…
Recommending Variable Names for Extract Local Variable Refactorings
Taiming Wang, Hui Liu, Yuxia Zhang +1
Extract local variable is one of the most popular refactorings, and most IDEs and refactoring tools provide automated support for this refactoring. However, we find approximately 7…
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Taiming Wang, Yuxia Zhang, Lin Jiang +3
Concise and meaningful method names are crucial for program comprehension and maintenance. However, method names may become inconsistent with their corresponding implementations, c…
An Empirical Study on the Potential of LLMs in Automated Software Refactoring
Bo Liu, Yanjie Jiang, Yuxia Zhang +3
Recent advances in large language models (LLMs), make it potentially feasible to automatically refactor source code with LLMs. However, it remains unclear how well LLMs perform com…