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Model-driven engineering for multi-party business processes on multiple blockchains

delete2021-09-01
delete23
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OA
AI
F
Flavio Corradini
A
Alessandro Marcelletti
A
Andrea Morichetta *
A
Andrea Polini
B
Barbara Re
E
Emanuele Scala
F
Francesco Tiezzi
DOI:10.1016/j.bcra.2021.100018delete
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Abstract

Abstract

En 中文
As a disruptive technology, the blockchain is continuously finding novel application contexts, bringing new opportunities and radical changes. In this paper, we use blockchain as a communication infrastructure to support multi-party business processes. In particular, through smart contracts specifically generated by the mentioned business process, it is possible to derive a trustable infrastructure enabling the interaction among parties. Moreover, the emergence of different blockchain technologies, satisfying different characteristics, gives the possibility to support the same business process dealing with different non-functional needs. In this paper, we propose a novel engineering methodology supported by a practical framework called Multi-Chain. It permits to derive, using a model-driven strategy, a blockchain-based infrastructure, that can be deployed over a specific blockchain technology (e.g., Ethereum or Hyperledger Fabric). The objective is to permit the single definition and multiple deployments of the business process, to deliver the same functionalities, but satisfying different nonfunctional needs. In such a way, organisations willing to cooperate can select the multi-party business process and the blockchain technology they would like to use to satisfy their needs. Using Multi-Chain, they will be able to automatically derive from a Business Process Modelling Notation (BPMN) choreography diagram a blockchain infrastructure ready to be used. This overcomes the need to get acquainted with many details of the specific technology.
Keywords:
Blockchain
Model-driven
Multi-party
Choreography
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Journal

Blockchain-Research and Applications cover
Blockchain-Research and Applications
IF:
5.6
Papers:
312
Citations:
754

Organization

U
University of Camerino
Scholars:
4.2K
Papers: 3.5K
Citations: 2