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Knowledge Based Requirement Engineering Framework for Emergency Management System

机译:基于知识的应急管理系统的需求工程框架

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The objective of this work is to propose a knowledge based requirement engineering framework to arrive at a reusable design and deployment of a flood situation service in an emergency management system software. In this proposed framework, the software requirement specifications are treated as input data with their corresponding association in multiple contexts. All such requirement information is fed into an expert system in the domain layer out of which the first class entities are derived to arrive at a meta-modeling of the target services. A set of contexts that concentrate upon the essential services with respect to deployment time and workflow parameters are considered as field knowledge. The knowledge base with all these information in multiple dimensions is treated as an engine to deliver the resulting design for the software services. The evolutionary computations under different conflicts are carried out as per the changing requirements. The proposed knowledge based system for changing emergency requirements of incident management software is evaluated in terms of maximum likelihood of the correct design with the growth and decay of incoming requests. The domain expert, meta-modeler and decision support modules are incorporated as knowledge based framework to arrive at an effective design for emergency management system.
机译:这项工作的目标是提出基于知识的要求工程框架,以便在紧急管理系统软件中获得可重复使用的设计和部署洪水局势服务。在这一提议的框架中,软件要求规范被视为在多个上下文中的相应关联的输入数据。所有此类需求信息都被馈送到域层中的专家系统中,其中派生第一类实体以获得目标服务的元建模。一组集中在部署时间和工作流程参数的基本服务的上下文被视为现场知识。具有多个维度的所有这些信息的知识库被视为发动机,以便为软件服务提供所产生的设计。根据不断变化的要求,使用不同冲突下的进化计算。在正确设计的最大可能性方面,拟议的基于知识管理软件的基于事件管理软件的紧急要求的系统,具有增长和衰减。域名专家,元建模者和决策支持模块被纳入基于知识的框架,以获得有效的应急管理系统设计。

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