works on

From the 1 of 21 linked papers with an AI index.

activity
20242026
collaborators

21 papers

cs.SE2026

DPIAgent: Divide, Protocol, Isolate for Agentic Reproduction Test Generation

Hao Liu, Steven Liu, Xin Zhang +8

Reproduction test generation, producing a failing-then-passing test that captures a reported bug, is a critical step in automated software engineering. Existing agentic methods tre…

cs.AI2026

AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

Sungho Park, Wonjoong Kim, Rongyuan Tan +10

LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interactions and lead to overall task failure. Although external harnesses…

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…