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Software Engineering Practices in Smart Contract Development: A Systematic Mapping Study

  • Conference paper
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Product-Focused Software Process Improvement (PROFES 2024)

Abstract

Smart Contracts are pieces of software that are deployed in Blockchain infrastructures to enable the interaction (and production of value) between unknown parties, without intermediaries, but in a trustworthy and transparent manner. A key to Smart Contracts’ success is their delivery to excellent standards of quality (e.g., security, documentation, code understandability etc.). To achieve this goal, the development of Smart Contracts needs to be driven by proven software engineering practices. In this paper, we conducted a systematic mapping study to get a comprehensive overview on how “good” software engineering practices are applied to Smart Contract Development. To identify primary studies that lie on the intersection of software engineering and smart contract development, we have selected specific publication venues and queried the literature. After applying the selection criteria, 113 studies were identified, analyzed, and synthesized results have been reported. The results provided some actionable implications for researchers and practitioners.

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Notes

  1. 1.

    https://users.uom.gr/~a.ampatzoglou/aux_material/profesSupplementaryMaterial.zip.

References

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Acknowledgments

This study has been partially funded by the Horizon Europe Framework Programme of the European Union under Grant agreement no 101058479.

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Correspondence to Nikolaos Nikolaidis .

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Giatzis, A. et al. (2025). Software Engineering Practices in Smart Contract Development: A Systematic Mapping Study. In: Pfahl, D., Gonzalez Huerta, J., Klünder, J., Anwar, H. (eds) Product-Focused Software Process Improvement. PROFES 2024. Lecture Notes in Computer Science, vol 15452. Springer, Cham. https://doi.org/10.1007/978-3-031-78386-9_26

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  • DOI: https://doi.org/10.1007/978-3-031-78386-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-78385-2

  • Online ISBN: 978-3-031-78386-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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