agent/papers/items/2026-2606-24689-automated-summarization-of-software-documents-an-llm-based-multi-agent-approach.md

Paper: Automated Summarization of Software Documents: An LLM-based Multi-Agent Approach

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type: paper title: "Automated Summarization of Software Documents: An LLM-based Multi-Agent Approach" authors: Duc S. H. Nguyen, Minh T. Nguyen, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.24689 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-23 updated_at: 2026-06-23 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• multi-agent
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 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, coding-agent, multi-agent, workflow-agent
• arXiv categories: cs.SE
• collection score: 16

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/2606.24689