agent/papers/items/2026-2606-25588-intenttester-intent-driven-multi-agent-framework-for-cross-library-test-migratio.md

Paper: IntentTester: Intent-Driven Multi-agent Framework for Cross-Library Test Migration

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type: paper title: "IntentTester: Intent-Driven Multi-agent Framework for Cross-Library Test Migration" authors: Yi Gao, Ziyuan Zhang, Xing Hu, Xiaohu Yang, Xin Xia year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.25588 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-24 updated_at: 2026-06-24 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• coding-agent
• computer-use
• multi-agent
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, agent-safety, coding-agent, computer-use, multi-agent, reasoning, tool-use
• arXiv categories: cs.SE
• collection score: 17

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.25588