Multi-source document mapping method and system based on software development field

By converting multi-source documents in software development projects into a unified XML format and establishing a mapping matrix of functional points, the documents inconsistency and matching difficulties under traditional manual matching methods are solved, and automated document association and functional point matching are achieved, improving the quality and efficiency of project acceptance.

CN119720952APending Publication Date: 2025-03-28中国司法大数据研究院有限公司
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Patent Information

Application Number
CN202411770373.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-04
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In software development project management, the traditional method of relying on manual keyword search results in inconsistent terms in different documents, resulting in difficulty in matching, and typos or synonyms that cannot be effectively matched, resulting in heavy management work, low efficiency, poor quality, and easy omissions.

Method used

A multi-source document mapping method based on the software development field is adopted. By converting project documents into a unified XML format, identifying functional point nodes, calculating association scores, establishing mapping matrix, forming mapping tables, and automatic association and matching of functional points between documents.

Benefits of technology

It realizes automated mapping and correlation of various documents in software development projects, improves the quality and efficiency of project acceptance, reduces manual intervention, and ensures the integrity and consistency of functional points.

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Abstract

The invention discloses a multi-source document mapping method and system based on the field of software development, and the method comprises the steps: 1) converting project documents of each stage of a target project into a unified format, and obtaining a multi-source document set; according to the structured data structure of each document in the multi-source document set, storing the corresponding document as an XML tree; 2) for each document information node in the XML tree, identifying a function point node to which the document information node belongs; extracting the content of each function point node and splicing the content with the context of the function point node; correlation is formed between each internal node of the function point nodes and other function point nodes except the area where the function point node is located, and candidate function point nodes of the internal nodes are determined according to correlation scores; and 3) establishing a mapping matrix according to a matching result of the function point node corresponding to each document and the function point nodes corresponding to other documents, and obtaining an optimal mapping sequence of each document according to the mapping matrix to form a mapping table.
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