5 citations · 5 across the 11 of their papers we have counts for
13 papers
State-Aware Generation of Deployable Websites from Visual Prototypes and Requirements
Ruwei Pan, Junlei Shen, Linhao Wu +7
Generating deployable websites from visual prototypes and textual requirements is increasingly feasible with multimodal models, yet keeping generated projects consistent with their…
Do Modifications Made by Coding Agents Make Subsequent Software Maintenance Harder?
Ruwei Pan, John Zhang, Linhao Wu +3
Coding agents increasingly maintain repositories over time, where each change becomes the starting point for subsequent tasks. Yet existing benchmarks either start tasks from devel…
MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model Deployment
Yicheng Liu, Bolin Zhang, Weiran Liu +4
LLM-based agents now have strong general capabilities. However, they still struggle with domain-specific tasks, motivating the integration of external tools to broaden their capabi…
TraceDev: A Traceability-Driven Multi-agent Framework for Requirement-to-Code Development
Mingyu Chen, Yakun Zhang, Zihao Xie +5
In modern software development, the rapid advancement of Large Language Models (LLMs) has made the end-to-end transformation of Natural Language Requirements (NLRs) into executable…
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…
Contextualized Code Pretraining for Code Generation
Chen Liu, Qingyuan Liang, Hanwen Zhang +3
As code generation becomes increasingly central to improving software development efficiency, modern code models are largely trained and evaluated on code with natural-language des…
Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
Ruwei Pan, Jiangshuai Wang, Qisheng Zhang +6
Large language models (LLMs) have achieved substantial progress in repository-level code generation. However, solving the same repository-level task often requires multiple attempt…
Toward Executable Repository-Level Code Generation via Environment Alignment
Ruwei Pan, Junlei Shen, Linhao Wu +5
Large language models (LLMs) have achieved strong performance on code generation, but existing methods still struggle with repository-level code generation under executable validat…
Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
Ruwei Pan, Yakun Zhang, Qingyuan Liang +4
Large language models (LLMs) have achieved strong performance on code generation. However, most prior evaluations focus on snippet-level outputs, such as function generation or rep…
LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation
Yakun Zhang, Zihan Wang, Xinzhi Peng +6
Functional testing is essential for verifying that the business logic of mobile applications aligns with user requirements. Despite its importance, functional testing remains heavi…
Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases
Yifan Zhao, Zeyu Sun, Guoqing Wang +5
Prevalent Fault Localization (FL) techniques rely on tests to localize buggy program elements. Tests could be treated as fuel to further boost FL by providing more debugging inform…
GUI Test Migration via Abstraction and Concretization
Yakun Zhang, Chen Liu, Xiaofei Xie +4
GUI test migration aims to produce test cases with events and assertions to test specific functionalities of a target app. Existing migration approaches typically focus on the widg…
CupCleaner: A Hybrid Data Cleaning Approach for Comment Updating
Qingyuan Liang, Zeyu Sun, Qihao Zhu +4
Comment updating is an emerging task in software evolution that aims to automatically revise source code comments in accordance with code changes. This task plays a vital role in m…