activity
20242026
most citedScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models

15 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

From What to How: Bridging User Requirements with Software Development Using Large Language Models

Xiao He, Ru Chen, Jialun Cao

Recently, large language models (LLMs) are extensively utilized to enhance development efficiency, leading to numerous benchmarks for evaluating their performance. However, these b…

cs.SE2025

A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models

Xiao He, Ru Chen, Zeqing Zhang +2

Template-based and LLM-based code generation are both key enablers of automated software development. The former provides correctness guarantees but are rigid for complex requireme…

cs.HC2025★ 15 cited

ScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models

Mingyuan Zhong, Ruolin Chen, Xia Chen +2

Many mobile apps are inaccessible, thereby excluding people from their potential benefits. Existing rule-based accessibility checkers aim to mitigate these failures by identifying…

cs.SE2024★ 2 cited

A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition

Ru Chen, Jingwei Shen, Xiao He

Domain modeling, a crucial part of model-driven engineering, demands extensive domain knowledge and experience from engineers. When the system description is highly complicated, th…

cs.SE2024

Challenges of Using Pre-trained Models: the Practitioners' Perspective

Xin Tan, Taichuan Li, Ruohe Chen +2

The challenges associated with using pre-trained models (PTMs) have not been specifically investigated, which hampers their effective utilization. To address this knowledge gap, we…