activity
20242026
most citedTrae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

2 citations · 2 across the 14 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.SE2026

Beyond Task Completion: Measuring Interaction Cost in Terminal User Interfaces

Ruida Hu, Yuanhao Wang, Chao Peng +2

Large language models (LLMs) are increasingly used through terminal user interfaces (TUIs), yet task completion alone does not capture how difficult an interface is to understand a…

cs.SE2026

Can LLMs Test Terminal User Interfaces?

Chao Peng, Ruida Hu, Ajitha Rajan +3

Terminal User Interfaces (TUIs) combine the stateful, screen-oriented behaviour of GUIs with terminal deployment and are now common in developer tools. Yet they lack a dedicated te…

cs.SE2026

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…

cs.SE2026

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development

Xinchen Wang, Ruida Hu, Cuiyun Gao +2

Software documentation is crucial for repository comprehension. While Large Language Models (LLMs) advance documentation generation from code snippets to entire repositories, exist…

cs.SE2026

Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios

Ruida Hu, Xinchen Wang, Chao Peng +2

The evolution of Large Language Models (LLMs) has catalyzed a paradigm shift towards intent-driven software development, where autonomous agents are expected to design and deliver…