---
title: "ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration"
source: "Hugging Face：Blog（RSS）"
source_tier: "t1"
url: "https://huggingface.co/blog/ibm-research/scarfbench"
permalink: "https://feed.astralor.com/items/itm_8654826289ec75765d33aa78"
published: "2026-06-30T18:32:50.000Z"
score: 57
channel: "ai"
tags: ["AI Agent","IBM Research","ScarfBench","Enterprise Java Framework Migration"]
---

# ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

## At a glance

IBM Research released ScarfBench on Hugging Face, a dedicated benchmark for evaluating AI agents on enterprise Java framework migration tasks. It covers diverse migration scenarios, measuring agents' ability to understand code, handle dependencies, and perform complex refactoring, providing a standardized evaluation for AI-assisted enterprise software modernization.

## Key points

- ScarfBench focuses on enterprise Java framework migration tasks (e.g., Java EE to Spring Boot).
- Includes diverse real-world migration scenarios covering code understanding, dependency management, and refactoring.
- Aims to advance AI agents in enterprise software modernization with reproducible evaluation standards.

## Full text

A Blog post by IBM Research on Hugging Face

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