Compositional Engineering Frameworks for Development of Smart Cyber-Physical Systems: A Critical Survey of the Current State of Progression

I. Horváth, Sirasak Tepjit, Z. Rusák
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引用次数: 2

Abstract

Various system-engineering frameworks (SEFs) have been developed for composable systems, whose overall operation is the sum of the operations of their components. However, smart cyber-physical systems (S-CPSs) are compositional in nature. Their reasoning capability and system knowledge assume an ‘ampliative’ (inter)operation of all hardware, software, or cyberware components. The need for SEFs that support synthesis, modeling, analysis, simulation, verification, and validation of S-CPSs is recognized in the literature. The objective of this paper is a critically review the state of development of compositionality enabling frameworks. Both quantitative and qualitative literature studies were conducted in combination with critical system thinking. The reasoning model used in the qualitative analysis was derived based on the findings of the quantitative analysis. The major observations are: (i) the notion of compositionality is not studied extensively in the context of S-CPSs that do not obey the principle of reductionism, (ii) methodological support of implementation of compositional CPSs seems to be in its infancy, (iii) SEFs may play a crucial role in synthesis, modeling and implementation of S-CPSs, and (iv) SEFs for compositional system design may be realized using the principles of semantic knowledge fusion or meta-synthesis. Our follow up research targets a formal definition and computational implementation of a testable prototype of a specific SEF tool supporting compositional design of reasoning mechanisms.
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智能信息物理系统开发的组合工程框架:当前进展状态的关键调查
为可组合系统开发了各种系统工程框架(sef),其总体操作是其组件操作的总和。然而,智能网络物理系统(s - cps)本质上是组成的。他们的推理能力和系统知识假设所有硬件,软件或网络组件的“放大”(内部)操作。对支持s - cps的合成、建模、分析、仿真、验证和验证的sef的需求在文献中得到了认可。本文的目的是批判性地回顾组合性使能框架的发展状态。结合批判性系统思维进行定量和定性的文献研究。在定量分析的基础上,推导出定性分析的推理模型。主要的观察结果是:(i)组合性的概念在不遵循还原论原则的s - cps的背景下没有得到广泛的研究;(ii)对组合cps实施的方法支持似乎处于起步阶段;(iii) SEFs可能在s - cps的合成、建模和实施中发挥关键作用;(iv)用于组合系统设计的SEFs可能使用语义知识融合或元合成的原则来实现。我们的后续研究目标是正式定义和计算实现一个支持推理机制组合设计的特定SEF工具的可测试原型。
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