Multi-party interaction scenarios usually involve interaction and collaboration between multiple participants, such as business negotiation, teamwork, etc. In multi-party interaction scenarios, trust mechanisms are needed to ensure the use of rights and the fulfillment of obligations. The use of blockchain and smart contracts to establish a decentralized trust mechanism is a solution. The development process of smart contracts may require experts in different fields to design them together, and it is difficult for non-experts to understand smart contract code. The traditional method of smart contract development is for the developer to manually write the smart contract code, which may lead to low development efficiency and the inability of the scene participants to understand the smart contract code. To address this challenge, we propose a reuse-oriented visual smart contract generator to efficiently develop complex multi-party interaction scenarios. This paper proposes a model based on BPMN that uses smart contracts to express the process of multi-party interaction so that the parties in various domains understand the business requirements. Then, a multi-layer reusable library is proposed and used to generate a visual solidity code. We also integrate code compilation, security checking, and deployment into the target blockchain environment for testing. The function of the tool is verified in the case of flight delay insurance, which shows that it can aid the automated development of smart contracts for multi-party interaction scenarios. At the same time, the feasibility of the tool is verified by five cases selected from the literature, which shows that it can aid the development of smart contracts to achieve a high degree of reusability.

More from our Archive

• DOI: 10.3390/app13148275 2023

  A Brief Review of Machine Learning Algorithms in Forest Fires Science

  Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, Brigitta Schütt

• DOI: 10.3390/app13137783 2023

  Identification of Subsurface Mesoscale Crack in Full Ceramic Ball Bearings Based on Strain Energy Theory

  Xiaotian Bai, Zhaonan Zhang, Huaitao Shi, Zhong Luo, Tao Li

• DOI: 10.3390/app13148122 2023

  A Survey on Formal Verification and Validation Techniques for Internet of Things

  Moez Krichen

• DOI: 10.1063/5.0153716 2023

  Peristaltic transport of MHD Ree–Eyring fluid through a flexible channel under the influence of activation energy

  M. Ajithkumar, P. Lakshminarayana, K. Vajravelu

• DOI: 10.3390/app13137744 2023

  New Trends in 4D Printing: A Critical Review

  Somayeh Vatanparast, Alberto Boschetto, Luana Bottini, Paolo Gaudenzi

• DOI: 10.3390/app13148175 2023

  Boiling vs. Microwave Heating—The Impact on Physicochemical Characteristics of Bell Pepper (Capsicum annuum L.) at Different Ripening Stages

  Remigiusz Olędzki, Joanna Harasym

• DOI: 10.1063/5.0158292 2023

  On the propagation of cnoidal wave and overtaking collision of slow shear Alfvén solitons in low <b> <i>β</i> </b> magnetized plasmas

  Salemah A. Almutlak, Shahida Parveen, Shahzad Mahmood, Anisa Qamar, B. M. Alotaibi, S. A. El-Tantawy

• DOI: 10.1063/5.0156571 2023

  Optimization of painting efficiency applying unique techniques of high-voltage conductors and nitrotherm spray: Developing deep learning models using computational fluid dynamics dataset

  Mohammad-Reza Pendar, Sílvio Cândido, José Carlos Páscoa

• DOI: 10.1063/5.0156543 2023

  Assessment of the aerodynamic benefits of collocating horizontal- and vertical-axis wind turbines in tandem using actuator line model

  Yixiao Shao, Jie Su, Yu Tu, Limin Kuang, Zhaolong Han, Kai Zhang, Dai Zhou

• DOI: 10.1063/5.0155532 2023

  Couple stress fluid flow enclosing a solid sphere in a porous medium: Effect of magnetic field

  Pankaj Kumar Maurya, Satya Deo, Deepak Kumar Maurya