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An Organized Repository of Ethereum Smart Contracts’ Source Codes and Metrics

Author

Listed:
  • Giuseppe Antonio Pierro

    (Inria Lille-Nord Europe Centre, 59650 Villeneuve d’Ascq, France)

  • Roberto Tonelli

    (Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy)

  • Michele Marchesi

    (Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy)

Abstract

Many empirical software engineering studies show that there is a need for repositories where source codes are acquired, filtered and classified. During the last few years, Ethereum block explorer services have emerged as a popular project to explore and search for Ethereum blockchain data such as transactions, addresses, tokens, smart contracts’ source codes, prices and other activities taking place on the Ethereum blockchain. Despite the availability of this kind of service, retrieving specific information useful to empirical software engineering studies, such as the study of smart contracts’ software metrics, might require many subtasks, such as searching for specific transactions in a block, parsing files in HTML format, and filtering the smart contracts to remove duplicated code or unused smart contracts. In this paper, we afford this problem by creating Smart Corpus , a corpus of smart contracts in an organized, reasoned and up-to-date repository where Solidity source code and other metadata about Ethereum smart contracts can easily and systematically be retrieved. We present Smart Corpus’s design and its initial implementation, and we show how the data set of smart contracts’ source codes in a variety of programming languages can be queried and processed to get useful information on smart contracts and their software metrics. Smart Corpus aims to create a smart-contract repository where smart-contract data (source code, application binary interface (ABI) and byte code) are freely and immediately available and are classified based on the main software metrics identified in the scientific literature. Smart contracts’ source codes have been validated by EtherScan, and each contract comes with its own associated software metrics as computed by the freely available software PASO. Moreover, Smart Corpus can be easily extended as the number of new smart contracts increases day by day.

Suggested Citation

  • Giuseppe Antonio Pierro & Roberto Tonelli & Michele Marchesi, 2020. "An Organized Repository of Ethereum Smart Contracts’ Source Codes and Metrics," Future Internet, MDPI, vol. 12(11), pages 1-15, November.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:11:p:197-:d:445231
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    References listed on IDEAS

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    1. Simona Ibba & Andrea Pinna & Maria Ilaria Lunesu & Michele Marchesi & Roberto Tonelli, 2018. "Initial Coin Offerings and Agile Practices," Future Internet, MDPI, vol. 10(11), pages 1-21, October.
    2. Miguel Diogo & Bruno Cabral & Jorge Bernardino, 2019. "Consistency Models of NoSQL Databases," Future Internet, MDPI, vol. 11(2), pages 1-19, February.
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    Cited by:

    1. Francesco Buccafurri & Vincenzo De Angelis & Sara Lazzaro, 2022. "A Blockchain-Based Framework to Enhance Anonymous Services with Accountability Guarantees," Future Internet, MDPI, vol. 14(8), pages 1-20, August.

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