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Inter-organizational Business Processes Managed by Blockchain

  • Hiroaki NakamuraEmail author
  • Kohtaroh Miyamoto
  • Michiharu Kudo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11233)

Abstract

Blockchain technology is highly expected to be a solution to the consistency and trust problems in managing business processes that span across organizational boundaries. However, to execute collaborative business processes, we need a mechanism for enabling entire workflows as a whole, where participants’ private processes must agree on the shared inter-organizational processes realized by Blockchain. To address this, we introduce a set of techniques that take business process models as input and transforms them into statecharts for Blockchain and process participants. We also optimize the size of the statechart in order to reduce the number of communications between Blockchain and participants. The statecharts are then used as a basis for generating software artifacts: smart contracts running on Blockchain and Web applications for process participants. Through the evaluation of our solution, we confirmed that our algorithms produce software artifacts that collaboratively work together. By applying the statechart reduction algorithms, we could reduce the number of sending and receiving events by 74% and 65% in two case studies.

Keywords

Process management Blockchain Model transformation 

Notes

Acknowledgments

We thank Takaaki Tateishi for providing us with the SCXML translator and statechart engine for Hyperledger Fabric, and Sachiko Yoshihama and Koichi Kamijo for their helpful discussion.

References

  1. 1.
    Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. arXiv preprint arXiv:1801.10228 (2018)
  2. 2.
    Angular (2016). https://angular.io/
  3. 3.
  4. 4.
    Business Process Model and Notation Specification Version 2.0.2 (2014). https://www.omg.org/spec/BPMN/2.0.2/PDF/
  5. 5.
    Buterin, V.: A next-generation smart contract and decentralized application platform. White paper (2014)Google Scholar
  6. 6.
    García-Bañuelos, L., Ponomarev, A., Dumas, M., Weber, I.: Optimized execution of business processes on blockchain. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 130–146. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-65000-5_8CrossRefGoogle Scholar
  7. 7.
    Harel, D.: Statecharts: a visual formalism for complex systems. Sci. Comput. Program. 8(3), 231–274 (1987)MathSciNetCrossRefGoogle Scholar
  8. 8.
    López-Pintado, O., et al.: Caterpillar: a blockchain-based business process management system. In: Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain (2017)Google Scholar
  9. 9.
    Madsen, M.F., et al.: Collaboration among adversaries: distributed workflow execution on a blockchain. In: 2018 Symposium on Foundations and Applications of Blockchain (2018)Google Scholar
  10. 10.
    Mendling, J., et al.: Blockchains for business process management-challenges and opportunities. ACM Trans. Manag. Inf. Syst. (TMIS) 9(1), 4 (2018)Google Scholar
  11. 11.
    Sendall, S., Kozaczynski, W.: Model transformation: the heart and soul of model-driven software development. IEEE Softw. 20(5), 42–45 (2003)CrossRefGoogle Scholar
  12. 12.
    State Chart XML (SCXML): State Machine Notation for Control Abstraction (2015). https://www.w3.org/TR/scxml/
  13. 13.
    Tabuchi, N., Sato, N., Nakamura, H.: Model-driven performance analysis of UML design models based on stochastic process algebra. In: Hartman, A., Kreische, D. (eds.) ECMDA-FA 2005. LNCS, vol. 3748, pp. 41–58. Springer, Heidelberg (2005).  https://doi.org/10.1007/11581741_5CrossRefGoogle Scholar
  14. 14.
    Weber, I., Xu, X., Riveret, R., Governatori, G., Ponomarev, A., Mendling, J.: Untrusted business process monitoring and execution using blockchain. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 329–347. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-45348-4_19CrossRefGoogle Scholar
  15. 15.
    Yli-Huumo, J., et al.: Where is current research on blockchain technology?—a systematic review. PloS One 11(10), e0163477 (2016)CrossRefGoogle Scholar
  16. 16.
    Ziadi, T., Helouet, L., Jezequel, J.-M.: Revisiting statechart synthesis with an algebraic approach. In: Proceedings of the 26th International Conference on Software Engineering. IEEE Computer Society (2004)Google Scholar
  17. 17.
    Zur Muehlen, M., Recker, J.: How much language is enough? Theoretical and practical use of the business process modeling notation. In: Bubenko, J., Krogstie, J., Pastor, O., Pernici, B., Rolland, C., Sølvberg, A. (eds.) Seminal Contributions to Information Systems Engineering. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-36926-1_35CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Hiroaki Nakamura
    • 1
    Email author
  • Kohtaroh Miyamoto
    • 1
  • Michiharu Kudo
    • 1
  1. 1.IBM Research - TokyoTokyoJapan

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