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Home Business

Fujitsu Unveils Gen AI Software Analysis and Visualization Service for Modernization Initiatives

Arshi Khan by Arshi Khan
February 4, 2025
Fujitsu Gen-AI Software

Today, Fujitsu has unveiled a new software analysis and visualization service to support organizational modernization by investigating and analyzing software, visualizing black-box application structures and characteristics, and generating design documents using generative AI. It is set to launch in Japan in February.

This service leverages advanced generative AI (GenAI) techniques to conduct in-depth software investigations and analyses, effectively visualizing the intricate structures and characteristics of legacy applications while automating the generation of design documentation.

The service includes two primary components: first, the software analysis and visualization, which delineates the architecture and specifications of existing systems, and second, the reverse engineering of design documents from the software.

Drawing on extensive experience from analyzing over 600 corporate system assets, Fujitsu’s supports businesses in comprehensively assessing their software landscapes, optimizing migration strategies, and evaluating the complexity of transitioning from mainframe environments to modern open systems.

Utilizing Fujitsu’s proprietary AI framework, Fujitsu Kozuchi, the reverse engineering aspect is capable of transforming large datasets into intuitive design documents.

Also Read: Fujitsu unveiled the world’s first multi-AI agent security technology to address vulnerabilities

Fujitsu continues to integrate generative AI across various stages of system integration (SI) projects, particularly within modernization efforts. This includes tasks traditionally performed by engineers—such as drafting design documentation and developing source code throughout the design, development, and testing phases. The incorporation of gen AI at the requirements definition phase is a pivotal step in Fujitsu’s strategy to facilitate SI transformation, drive both productivity enhancements and quality improvements in software development.

Arshi Khan

Arshi Khan

A research-focused journalist covering enterprise technology, AI, and cybersecurity. Reporting combines market data, expert interviews, and on-ground industry inputs to produce accurate, context-driven stories for business decision-makers. She can be reached at [email protected]

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