Keywords
smart contract
event pattern
modeling
How to Cite
Abstract
In this work, it is proposed to develop a smart contract design model event patterns-based. The use of event patterns in smart contract modeling is an emerging trend. This systematized and agile process allows, through event patterns, to reuse the knowledge and experience of previous solutions described with business patterns for the same use cases. Smart contract is programming code that is automatically executed when certain predefined conditions are met. These contracts are created and stored on a Blockchain platform, allowing for automatic execution and verification by multiple nodes on the network. Mapping the scientific literature published to date, one finds works that propose the application of patterns to the modeling of smart contracts. The results show that the use of event patterns in smart contract modeling is an emerging trend. Event patterns are used to model interactions between smart contracts and their environment, helping to improve the efficiency, security, and flexibility of smart contracts. Among the most commonly used event patterns are time patterns, flow control patterns, and communication patterns. In addition, specific tools and languages have been developed for modeling smart contracts based on event patterns. In conclusion, it is suggested that the use of event patterns in smart contract modeling is a promising trend that can significantly improve the efficiency, security and flexibility of smart contracts in various applications.
References
Bartoletti, M. and Pompianu, L. (2017). An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns, en actas de International Conference on Financial Cryptography and Data Security 2017, págs. 494-509,Ed. Springer. https://doi.org/10.1007/978-3-319-70278-0
Ethereum (18 de junio 2024). Welcome to Ethereum. https://ethereum.org/en/.
Endeavor (2024).. Blockchain, ¿la promesa de una revolución? [Insight blockchain] Endeavor México. https://mexico.endeavor.org/blockchain2018/
Eriksson, H.-E. & Penker, M. (2000). Business Modeling with UML: Business Patterns at Work, OMG Press.
Genero Bocco, M., Cruz-Lemus J.A. y Piattini Velthuis, M.G. (2014). Métodos de investigación en ingeniería de software, Ed. Ra-ma.
Kitchenham, B., Pickard, L.M., Pfleeger, S.L. (1995). Case studies for method and tool evaluation, Ed. IEEE Software.
Kitchenham, B., Brereton, P., Turner, M., Niazi, M. y Linkman, S. (2010). Literature reviews in software engineering – a tertiary study, Information and Software Technology, 52(8), págs. 79-805. Ed. Elsevier.
Marciszack, M.M., Moreno, J.C., Sánchez, C.E., Medina, O.C., Delgado, A.F., Castro, C.S. (2018). Patrones en la construcción del Modelo Conceptual para sistemas de información, Editorial edUTecNe, Universidad Tecnológica Nacional.
Medina, O.C., Pérez Cota, M., Meloni, B.E., Marciszack, M.M. (2021a). Business Patterns Catalogue and selection proposal for the Conceptual Model of a software product publicado en J.UCS Journal 27(2), págs. 135-151, Editorial J.UCS Consortium.
Medina, O.C., Pérez Cota, M., Damiano, L.E., Della Mea, K., Marciszack, M.M. (2021b). Systematic Mapping of Literature on Applicable Patterns in Conceptual Modelling of Information Sys-tems publicado en “New perspectives in Software Engineering (CIMPS 2021)”, págs. 41-54, Editorial Springer.
Nakamoto, S. Bitcoin (2008). A Peer-To-Peer Electronic Cash System. 2008. https://bitcoin.org/bitcoin.pdf.
RIBCi (18 de junio de 2024). RIBCI - Red iberoamericana de blockchain y ciberseguridad. https://www.cyted.org/ribci.
Solis-Osorio, C.A.,Pérez-Cortés, E., Cervantes-Maceda, H. (2019). Hacia una metodología para el diseño de contratos inteligentes”, ReCIBE, Año 8 No. 1, México, Ed. UAM.
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M., Regnell, B. (2012). Experimentation in software engineering, Ed. Springer.
Wöhrer, M. and Zdun, U. (2018). Design Patterns for Smart Contracts in the Ethereum Ecosystem, 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Compu-ting and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada, Ed. IEEE.
Xu, X., Weber, I. and Staples, M. (2019). Architecture for blockchain applications, págs. 1-307, Berlin, Germany, Ed. Springer.
Zhao, W.; Huang,T.; Chen, Y.; Deng, Y. & Tan, W. (2021). A systematic literature review on event patternbased modeling of smart contracts. Concurrency and Computation: Practice and Experience.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2024 Oscar Carlos Medina, Marcelo Martín Marciszack, Rubén Aníbal Romero, Brenda Elizabeth Meloni, Ana María Strub, María Soledad Romero, Diego Morardo, José Ignacio Nájera Gibert