system

The system uses generative AI to automatically detect and correct inconsistencies between source code and specification documents, ensuring the specification reflects the latest changes, improving specification management efficiency.

JP2026106984APending Publication Date: 2026-06-30SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-18
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Inconsistent change history of source code with specification documents is difficult to detect manually, leading to inefficient specification management.

Method used

A system comprising an acquisition unit, extraction unit, and suggestion unit that uses generative AI to automatically acquire, analyze, and suggest changes to specification documents based on detected inconsistencies between source code and specification documents.

Benefits of technology

Automatically detects and corrects inconsistencies, ensuring the specification document always reflects the latest source code changes, enhancing specification management efficiency and reducing communication discrepancies.

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Abstract

The system according to this embodiment aims to automatically detect inconsistencies between the source code change history and the specification document, thereby streamlining the management of the specification document. [Solution] The system according to the embodiment comprises an acquisition unit, an extraction unit, a detection unit, and a suggestion unit. The acquisition unit automatically acquires the change history of the source code. The extraction unit analyzes the change history acquired by the acquisition unit and extracts important requirements and specifications. The detection unit detects differences and inconsistencies between the requirements extracted by the extraction unit and the implementation of the source code. The suggestion unit suggests changes to the specifications based on the differences and inconsistencies detected by the detection unit.
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