Model-Driven Engineering Tools and Languages for Cyber-Physical Systems–A Systematic Literature Review

Mohamed, Mustafa Abshir; Kardaş, Geylani; Challenger, Moharram

doi:10.1109/access.2021.3068358

Cited by 22 publications

(7 citation statements)

References 163 publications

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“…MDE solutions (in regions 1-3 of the figure) can target those domains but frequently also target more technical areas, which require specialized engineers. These include domains like automotive [11], power engineering [13], or cyber-physical systems [33] in general, among many others.…”

Section: Integration With External Servicesmentioning

confidence: 99%

Low-code development and model-driven engineering: Two sides of the same coin?

et al. 2022

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The last few years have witnessed a significant growth of so-called low-code development platforms (LCDPs) both in gaining traction on the market and attracting interest from academia. LCDPs are advertised as visual development platforms, typically running on the cloud, reducing the need for manual coding and also targeting non-professional programmers. Since LCDPs share many of the goals and features of model-driven engineering approaches, it is a common point of debate whether low-code is just a new buzzword for model-driven technologies, or whether the two terms refer to genuinely distinct approaches. To contribute to this discussion, in this expert-voice paper, we compare and contrast low-code and model-driven approaches, identifying their differences and commonalities, analysing their strong and weak points, and proposing directions for cross-pollination.

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Section: Integration With External Servicesmentioning

confidence: 99%

Low-code development and model-driven engineering: Two sides of the same coin?

et al. 2022

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“…One author stated: "while practitioners experience benefits of modelling for analysis and design, requirements engineering, quality management, implementation and deployment, they still struggle with external tool integration/model transformation and export, cognitive fit, visual expressiveness, high effort required in acquiring skills, automated analysis and high effort required in using tools" [9]. Another author cited the lack of standardization due to the complexity of modeling heterogeneous systems, or perhaps the complexity due to lack of standardization [10]. Even in problems of restricted scope such as the blockchain [11], or networking [12], these issues remain a factor [13].…”

Section: Discussionmentioning

confidence: 99%

Towards a Domain Specific Modeling Framework for General Collective Intelligence Platforms

Williams¹

2022

Preprint

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A General Collective Intelligence or GCI is a hypothetical platform able to self-organize individuals into potentially massive networks of cooperation on a self-sustaining basis, where those networks might radically increase the group’s general problem-solving ability and hence ability to solve any problem in general, which translates to a radical increase in the capacity of the group to achieve any of it’s collective goals. This potential to significantly increase collective outcomes has been confirmed through analysis of GCI based platform designs targeting social good, such as a proposed “Social Impact Marketplace”. In software, GCI is predicted to create the potential to enable social media platforms, blockchain platforms, or any other type of platform, to self-assemble at a speed, scale, and size of user base not currently possible, while also providing functionality that reliably solves problems that are currently not reliably solvable. In order to achieve this, GCI leverages the concept of “functional state spaces” to provide a semantic representation of the functionality in each domain of software behavior. This paper explores the concept of functional state spaces as a framework for domain specific modeling, as well as how such functional state spaces potentially provide a semantic representation of the functionality in each domain that is universal and therefore suitable for a General Collective Intelligence platform capable of targeting any given problem in any given domain.

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“…While Horvath et al [ 15 ] provided a more general overview of the state-of-the-art, Korotunuv et al [ 16 ], Liu et al [ 17 ], and Quadri et al [ 18 ] focused on modelling and design methodologies for CPS. The two reviews by Mohamed et al [ 19 , 20 ] are particularly noteworthy due to the scope of the literature examined. They provided a broad overview of the CPS literature.…”

Section: Methodsmentioning

confidence: 99%

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

Fett,

Wilking,

Goetz

et al. 2023

Sensors

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Digital Twins offer vast potential, yet many companies, particularly small and medium-sized enterprises, hesitate to implement them. This hesitation stems partly from the challenges posed by the interdisciplinary nature of creating Digital Twins. To address these challenges, this paper explores systematic approaches for the development and creation of Digital Twins, drawing on relevant methods and approaches presented in the literature. Conducting a systematic literature review, we delve into the development of Digital Twins while also considering analogous concepts, such as Cyber-Physical Systems and Product-Service Systems. The compiled literature is categorised into three main sections: holistic approaches, architecture, and models. Each category encompasses various subcategories, all of which are detailed in this paper. Through this comprehensive review, we discuss the findings and identify research gaps, shedding light on the current state of knowledge in the field of Digital Twin development. This paper aims to provide valuable insights for practitioners and researchers alike, guiding them in navigating the complexities associated with the implementation of Digital Twins.

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Model-Driven Engineering Tools and Languages for Cyber-Physical Systems–A Systematic Literature Review

Cited by 22 publications

References 163 publications

Low-code development and model-driven engineering: Two sides of the same coin?

Low-code development and model-driven engineering: Two sides of the same coin?

Towards a Domain Specific Modeling Framework for General Collective Intelligence Platforms

A Literature Review on the Development and Creation of Digital Twins, Cyber-Physical Systems, and Product-Service Systems

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