A dynamic requirement tracking and change impact analysis method based on a meta-model framework

CN122924728APending Publication Date: 2026-10-16CHENGDU TIANHE TECH CO LTD
0 Cites 0 Cited by

Patent Information

Application Number
CN202610918930.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-24
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0007]为了克服现有需求追踪技术存在模型静态固化、人工依赖度高、全生命周期关联无法自动化构建、变更影响无法全域自动化推演的核心技术瓶颈,难以满足核电厂仪控系统等复杂高可靠系统对需求追踪的实时性、完整性、精准性、智能化要求的技术问题,本发明提供了一种基于元模型框架的动态需求追踪与变更影响分析方法,包括以下步骤:

Benefits of technology

1.本发明构建了包含结构层、元属性层、关系层、逻辑算法层的通用四层元模型框架,对系统全生命周期工程对象、属性、关联关系进行统一机器可识别抽象,形成可迭代、可更新的标准化规则体系,能够跟随工程研发迭代、需求变更实时更新关联拓扑网络与追踪数据集,彻底解决传统静态追踪模型信息滞后、数据失效的问题,保障需求追踪信息的实时有效性。

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application belongs to the technical field of system engineering full life cycle requirement management, more particularly to a dynamic requirement tracking and change influence analysis method based on a meta-model framework, a four-layer meta-model framework composed of a structure layer, a meta-attribute layer, a relationship layer and a logic algorithm layer is built, and meta-model building, algorithm configuration and change influence analysis are completed in turn; relying on the structure layer algorithm, standardization elements are obtained by splitting engineering information, multi-dimensional attributes of the elements are automatically annotated by attribute algorithms, and internal, tracking and verification three types of association relationships between the elements are automatically constructed by means of a dynamic association relationship algorithm; after the change is triggered, the influence propagation analysis algorithm is used to traverse along the association link, automatically locate all affected elements and output an analysis report, overcoming the defects of traditional RTM static lag, single dimension and change analysis relying on artificial experience, realizing dynamic and automatic tracking and intelligent research and judgment of change influence of complex system full life cycle requirements, and improving requirement management efficiency and analysis accuracy.
Need to check novelty before this filing date? Find Prior Art