activity
20242026
most citedGUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing Agent

2 citations · 2 across the 8 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.SE2026

Speculative Forking: Turning Idle Wait into Parallel Exploration for Repository Environment Setup

Yuling Shi, Mingchu Zhong, Zhensu Sun +8

Before developers can use a software project, they must first get it to run. This often requires installing the right language runtime, system packages, build tools, and test comma…

cs.SE2026

Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?

Zhi Chen, Zhensu Sun, Yuling Shi +2

Repository-level performance-optimization benchmarks such as GSO, SWE-Perf and SWE-fficiency evaluate coding agents by applying patches to real repositories and comparing runtime a…

cs.SE2026

Same Signal, Different Semantics: A Cross-Framework Behavioral Analysis of Software Engineering Agents

Wei Ma, Zhi Chen, Jingxu Gu +3

Behavioral studies of LLM-based software engineering agents extract operational rules about which trajectory shapes correlate with higher resolution rates: that a test step follows…

cs.SE2026

AgentGuard: A Multi-Agent Framework for Robust Package Confusion Detection via Hybrid Search and Metadata-Content Fusion

Yu Li, Wei Ma, Zhi Chen +6

The proliferation of open-source software (OSS) has made software supply chains prime targets for attacks like Package Confusion, where adversaries publish malicious packages with…

cs.PL2026

Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters

Zhensu Sun, Zhihao Lin, Zhi Chen +4

Current LLM systems are increasingly equipped with a code interpreter that executes generated code to obtain results. This works serially: the model first generates the complete co…

cs.SE2026

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents

Zhi Chen, Zhensu Sun, Yuling Shi +4

Large Language Model (LLM) code agents increasingly resolve repository-level issues by iteratively editing code, invoking tools, and validating candidate patches. In these workflow…