collaborators

19 papers

cs.SE2026

LoopsBench: From Harness Engineering to Loop Engineering in Coding Agent Evaluation

Han Li, Zhemin Fang, Rili Feng +8

Coding agent infrastructure is shifting from harness engineering toward loop engineering as coding agents are deployed for sustained long-horizon software development. Existing ben…

cs.SE2026

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Haomin Qi, Xingliang Wang, Xuanqi Gao +9

The paper introduces Change2Task, a system that turns merged pull requests from software repositories into verified, executable coding‑agent tasks by reconstructing the code state…

cs.SE2026

Can Large Language Models Generate Observability-Aware Code?

Yongliang Tao, Hongyu Zhang, Pengfei Gao +8

Recent advances in coding agents have enabled the generation of increasingly complex software systems. While existing evaluations primarily focus on functional correctness, product…

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

Reducing Cost of LLM Agents with Trajectory Reduction

Yuan-An Xiao, Pengfei Gao, Chao Peng +1

Multi-turn agent systems based on Large Language Models (LLMs) have become increasingly popular for software engineering tasks. While LLM agents demonstrate promising effectiveness…

cs.SE2025

Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice

Ruida Hu, Xinchen Wang, Xin-Cheng Wen +5

Code review is a cornerstone of software quality assurance, and recent advances in Large Language Models (LLMs) have shown promise in its automation. However, existing benchmarks f…