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Towards a Graphical DSL for Tracing Supply Chains on Blockchain

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Book cover Euro-Par 2021: Parallel Processing Workshops (Euro-Par 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13098))

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Abstract

Nowadays, supply chain tracing notarization is among the most used non-financial blockchain applications. However, creating a blockchain based system for the management of a supply chain remains a complex task. In this paper, we propose a graphical domain specific language (DSL) and a tool allowing the supply chain domain expert to easily represent the supply chain he needs to trace. The graphical representation of the supply chain is then translated in automatic way in a set of solidity smart contracts implementing it. A small intervention of a programmer is required to customize and finalize such smart contracts. The obtained semi-automatic process of smart contract generation will boost the blockchain usage for supply chain traceability.

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Notes

  1. 1.

    Bitcoin project: https://bitcoin.org.

  2. 2.

    Monero project: https://www.getmonero.org.

  3. 3.

    Solidity white paper: https://docs.soliditylang.org/en/v0.8.6/.

  4. 4.

    Ethereum project: https://ethereum.org/en/.

  5. 5.

    White paper of Chaincode: https://hyperledger-fabric.readthedocs.io/en/release-1.3/chaincode.html.

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Informatica, University of Perugia, Perugia, Italy

    Stefano Bistarelli

  2. Dipartimento di Informatica, University of Camerino, Camerino, Italy

    Francesco Faloci

  3. Istituto di Informatica e Telematica, National Research Council, Pisa, Italy

    Paolo Mori

Authors
  1. Stefano Bistarelli
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  2. Francesco Faloci
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  3. Paolo Mori
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Corresponding author

Correspondence to Francesco Faloci .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Ricardo Chaves

  2. Department of Computer Engineering, CiTIUS, University of Santiago de Compostela, Santiago de Compostela, La Coruña, Spain

    Dora B. Heras

  3. University of Lisbon, Lisbon, Portugal

    Aleksandar Ilic

  4. Koç University, Istanbul, Turkey

    Didem Unat

  5. Barcelona Supercomputing Center, Barcelona, Spain

    Rosa M. Badia

  6. University of Stirling, Stirling, UK

    Andrea Bracciali

  7. Louisiana State University, Baton Rouge, USA

    Patrick Diehl

  8. Mathematics and Computer Science, Argonne National Laboratory, Lemont, IL, USA

    Anshu Dubey

  9. Ajou University, Suwon, Korea (Republic of)

    Oh Sangyoon

  10. Tennessee Technological University, Cookeville, TN, USA

    Stephen L. Scott

  11. University of Pisa, Pisa, Italy

    Laura Ricci

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Bistarelli, S., Faloci, F., Mori, P. (2022). Towards a Graphical DSL for Tracing Supply Chains on Blockchain. In: Chaves, R., et al. Euro-Par 2021: Parallel Processing Workshops. Euro-Par 2021. Lecture Notes in Computer Science, vol 13098. Springer, Cham. https://doi.org/10.1007/978-3-031-06156-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-06156-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06155-4

  • Online ISBN: 978-3-031-06156-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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