Model-driven approach for the design of Multi-Chain Smart Contracts

Barisic, Ankica; Zhu, Enlin; Mallet, Frédéric

doi:10.1109/brains52497.2021.9569809

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Additionally, using MDE enables reasoning on the model prior to producing actual deployment artifacts. Instead of digging into the back-end technologies (such as blockchain) for alternate investigation, developers can concentrate on the business models [100]. This is particularly true in case of complex heterogeneous environments like Industry 4.0.…”

Section: Model-driven Engineeringmentioning

confidence: 99%

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Ahmad

2023

IEEE Access

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Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad, and analysis of this literature enables the identification of themes and potential future study topics that will influence system development. This paper reports on bibliometric literature analysis of MBSE of IoT. It considers conference and journal publication trends in the state-of-the-art to identify emerging research themes from the standpoint of trans/multi-disciplinary scholarship and technology. We used Elsevier's Scopus database to find relevant publications from January 2018 to December 2022. Using publication citation ranking and other factors (e.g., publication venues), we selected 110 articles and then analyzed them using BibExcel and VOSviewer software tools. With a modest decline in 2021, this analysis shows an overall increase in publications during the time period. A thematic analysis of the abstracts revealed a strong focus on the introduction of reference architectures and integration of MBSE with business and management methodologies like Agile and BPMN 2.0. Model-driven engineering and machine learning techniques are essential among the enablers for realization of complex heterogeneous IoT systems in the realm of Industry 4.0. We highlight these findings to better understand and meet the enduring challenge of scaling MBSE of IoT across diverse sectors like health, manufacturing, and transportation.INDEX TERMS BibExcel, bibliometrics, Internet of Things, industry 4.0, model-based system engineering, model-driven engineering, thematic analysis, VOSviewer.

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Section: Model-driven Engineeringmentioning

confidence: 99%

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Ahmad

2023

IEEE Access

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“…IEEE 50 20 29 1 [Dharanikota et al 2021], [Dingman et al 2019], [Zeng et al 2022], [Tsiounis and Kontogiannis 2022], [Qasse et al 2021], [Barišić et al 2021], [Feist et al 2019], [Ferreira et al 2020], [Dong et al 2022b], [Jurgelaitis et al 2022], [Garamvölgyi et al 2018], [Chirtoaca et al 2020], [Dong et al 2022a], [Ren et al 2021], [Yu et al 2021], [Akca et al 2019], [Tsai et al 2019], [Bao and Liu 2021], [Jin et al 2022…”

Section: Conductionmentioning

confidence: 99%

“…The MDE and MDA approaches have been employed in several works [Qasse et al 2021, Barišić et al 2021, Tsai et al 2019, Jurgelaitis et al 2022.…”

Section: (Rq2) How Are Software Engineering Techniques Being Used To ...mentioning

confidence: 99%

“…In [Qasse et al 2021], a chatbot that uses natural language to model smart contracts through the IContractML metamodel [Hamdaqa et al 2022] was proposed, allowing for the creation of smart contracts. In [Barišić et al 2021], MDE was used to propose a multichain contract structure that addresses reliability issues through models. Furthermore, in [Tsai et al 2019], a framework based on MDE was presented for generating legal contract templates.…”

Section: (Rq2) How Are Software Engineering Techniques Being Used To ...mentioning

confidence: 99%

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Challenges and Opportunities in Smart Contract Development on the Ethereum Virtual Machine: A Systematic Literature Review

Velasco

Vaz²,

Carvalho

2023

Anais Do VI Workshop Em Blockchain: Teoria, Tecnologias E Aplicações (WBlockchain 2023)

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The development of smart contracts presents significant challenges compared to traditional software development, such as the immutability of the blockchain. This paper presents a systematic literature review (SLR) that aims to understand the limitations and challenges faced by smart contract developers on the Ethereum Virtual Machine (EVM). Among the main challenges identified are language restrictions, infrastructure limitations, and the lack of sufficient information on interface patterns and implementation specifications. Existing proposals are difficult to understand, with complex formal verifications that require advanced technical knowledge. Additionally, the scarcity of accessible educational resources for training new smart contract developers represents a major challenge to be overcome. In this regard, the SLR seeks to identify opportunities for improvement and innovation in the field, as well as validation and evaluation strategies to make the smart contract development process more efficient and secure.

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Design of blockchain-based applications using model-driven engineering and low-code/no-code platforms: a structured literature review

2023

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The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research.

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Model-driven approach for the design of Multi-Chain Smart Contracts

Cited by 4 publications

References 7 publications

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Challenges and Opportunities in Smart Contract Development on the Ethereum Virtual Machine: A Systematic Literature Review

Design of blockchain-based applications using model-driven engineering and low-code/no-code platforms: a structured literature review

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