What problem does this service solve?

It addresses the challenges of legacy system modernization, where design documents are often outdated or missing, making it difficult and costly to understand system details. It also helps overcome the shortage of experts familiar with legacy systems.

How does the service improve efficiency?

It can reduce the time required for tasks like understanding programming languages and generating design documents by approximately 1/30 compared to manual efforts, even without expert knowledge.

What makes the generated design documents accurate?

The service uses proprietary code analysis techniques and Retrieval-Augmented Generation (RAG) managed by "Fujitsu Knowledge Graph Extension RAG for Software Engineering" to link source code, prevent omissions and hallucinations, ensuring consistency and high accuracy, even for complex languages like COBOL.

What are the future plans for this service?

Fujitsu plans to offer implementation support and, from fiscal year 2026 onwards, add functions for rebuilding source code, rewriting source code, and supporting operations and maintenance.

AI News NQ Analysis

富士通推出生成式AI服務「Fujitsu Application Transform powered by Fujitsu Kozuchi」，透過解析原始碼自動生成設計書

NQ 評分 50/100

AI 摘要（NQ 加工版）

富士通推出生成式AI服務，可為舊有系統自動生成設計文件。

尚無 AI 分析資料。

常見問題

Q: What is "Fujitsu Application Transform powered by Fujitsu Kozuchi"?: A: "Fujitsu Application Transform powered by Fujitsu Kozuchi" is a SaaS service that uses generative AI to analyze source code of existing legacy systems, such as COBOL, and automatically generate design documents to help understand the system's content.
Q: What problem does this service solve?: A: It addresses the challenges of legacy system modernization, where design documents are often outdated or missing, making it difficult and costly to understand system details. It also helps overcome the shortage of experts familiar with legacy systems.
Q: How does the service improve efficiency?: A: It can reduce the time required for tasks like understanding programming languages and generating design documents by approximately 1/30 compared to manual efforts, even without expert knowledge.
Q: What makes the generated design documents accurate?: A: The service uses proprietary code analysis techniques and Retrieval-Augmented Generation (RAG) managed by "Fujitsu Knowledge Graph Extension RAG for Software Engineering" to link source code, prevent omissions and hallucinations, ensuring consistency and high accuracy, even for complex languages like COBOL.
Q: What are the future plans for this service?: A: Fujitsu plans to offer implementation support and, from fiscal year 2026 onwards, add functions for rebuilding source code, rewriting source code, and supporting operations and maintenance.