On the adoption of blockchain for business process monitoring
-
Published:2022-01-19
Issue:3
Volume:21
Page:915-937
-
ISSN:1619-1366
-
Container-title:Software and Systems Modeling
-
language:en
-
Short-container-title:Softw Syst Model
Author:
Di Ciccio Claudio, Meroni GiovanniORCID, Plebani Pierluigi
Abstract
AbstractBeing the blockchain and distributed ledger technologies particularly suitable to create trusted environments where participants do not trust each other, business process management represents a proper setting in which these technologies can be adopted. In this direction, current research work primarily focuses on blockchain-oriented business process design, or on execution engines able to enact processes through smart contracts. Conversely, less attention has been paid to study if and how blockchains can be beneficial to business process monitoring. This work aims to fill this gap by (1) providing a reference architecture for enabling the adoption of blockchain technologies in business process monitoring solutions, (2) defining a set of relevant research challenges derived from this adoption, and (3) discussing the current approaches to address the aforementioned challenges.
Publisher
Springer Science and Business Media LLC
Subject
Modeling and Simulation,Software
Reference81 articles.
1. Adler, F., Kitzmann, D., Jansen, M.: Analysis of costs for smart contract execution. In: Prieto, J., Pinto, A., Das, A.K., Ferretti, S. (eds.) Blockchain and Applications, pp. 153–156. Springer, Cham (2020) 2. Ahrendt, W., Bubel, R., Ellul, J., Pace, G.J., Pardo, R., Rebiscoul, V., Schneider, G.: Verification of smart contract business logic-exploiting a java source code verifier. In: Hojjat, H., Massink, M. (eds.) Fundamentals of Software Engineering-8th International Conference, FSEN 2019, Tehran, Iran, May 1–3, 2019, Revised Selected Papers. Lecture Notes in Computer Science, vol. 11761, pp. 228–243. Springer (2019). https://doi.org/10.1007/978-3-030-31517-7_16 3. Alves, P.H.C., Paskin, R., Frajhof, I.Z., Miranda, Y.R., Jardim, J.G., Cardoso, J.J.B., Tress, E.H.H., da Cunha, R.F., Nasser, R., Robichez, G.: Exploring blockchain technology to improve multi-party relationship in business process management systems. In: Filipe, J., Smialek, M., Brodsky, A., Hammoudi, S. (eds.) Proceedings of the 22nd International Conference on Enterprise Information Systems, ICEIS 2020, Prague, Czech Republic, May 5–7, 2020, vol. 2, pp. 817–825. SCITEPRESS (2020). https://doi.org/10.5220/0009565108170825 4. Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., Caro, A.D., Enyeart, D., Ferris, C., Laventman, G., Manevich, Y., Muralidharan, S., Murthy, C., Nguyen, B., Sethi, M., Singh, G., Smith, K., Sorniotti, A., Stathakopoulou, C., Vukolic, M., Cocco, S.W., Yellick, J.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Oliveira, R., Felber, P., Hu, Y.C. (eds.) Proceedings of the Thirteenth EuroSys Conference, EuroSys 2018, Porto, Portugal, April 23–26, 2018. pp. 30:1–30:15. ACM (2018). https://doi.org/10.1145/3190508.3190538 5. Bandara, H.M.N.D., Xu, X., Weber, I.: Patterns for blockchain data migration. In: EuroPLoP’20: European Conference on Pattern Languages of Programs 2020, Virtual Event, Germany, 1–4 July, 2020, pp. 7:1–7:19. ACM (2020). https://doi.org/10.1145/3424771.3424796
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|