基于模型的复杂辅助系统参考架构及其应用

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Judith Michael, Volodymyr A. Shekhovtsov
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引用次数: 0

摘要

提供与用户年龄或能力无关的人类行为支持的复杂辅助系统被广泛应用于汽车、生产、航空或医疗等多个领域。目前的研究对创建运行时使用模型的辅助系统需要哪些架构组件缺乏共识。现有的架构组件描述侧重于特定领域,只考虑了辅助系统的某些部分,或者没有考虑运行时模型。我们分析了此类系统的常见功能需求,从而提出了一套可重复使用的组件,在创建使用模型的辅助系统时必须考虑这些组件。这些组件构成了我们在本文中提出的参考架构。为了验证所提出的体系结构,我们将两个不同领域的辅助系统(即老年人辅助系统和智能制造操作员辅助系统)的体系结构与该体系结构进行了比对。所提出的参考架构将有助于创建未来的辅助系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A model-based reference architecture for complex assistive systems and its application

A model-based reference architecture for complex assistive systems and its application

Complex assistive systems providing human behavior support independent of the age or abilities of users are broadly used in a variety of domains including automotive, production, aviation, or medicine. Current research lacks a common understanding of which architectural components are needed to create assistive systems that use models at runtime. Existing descriptions of architectural components are focused on particular domains, consider only some parts of an assistive system, or do not consider models at runtime. We have analyzed common functional requirements for such systems to be able to propose a set of reusable components, which have to be considered when creating assistive systems that use models. Such components constitute a reference architecture that we propose within this paper. To validate the proposed architecture, we have expressed the architectures of two assistive systems from different domains, namely assistance for elderly people and assistance for operators in smart manufacturing in terms of compliance with such architecture. The proposed reference architecture will facilitate the creation of future assistive systems.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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