Recommending Differentiated Code to Support Smart Contract Update

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) Pub Date : 2019-05-01 DOI:10.1109/ICPC.2019.00045

Yuan Huang, Queping Kong, N. Jia, Xiangping Chen, Zibin Zheng

{"title":"Recommending Differentiated Code to Support Smart Contract Update","authors":"Yuan Huang, Queping Kong, N. Jia, Xiangping Chen, Zibin Zheng","doi":"10.1109/ICPC.2019.00045","DOIUrl":null,"url":null,"abstract":"Blockchain has attracted wide attention. A smart contract is a program that runs on the blockchain, and there is evidence that most of the smart contracts on the Ethereum are highly similar, as they share lots of repetitive code. In this study, we empirically study the repetitiveness of the smart contracts via cluster analysis and try to extract the differentiated code from the similar contracts. Differentiated code is defined as the source code except the repeated ones in two similar smart contracts, which usually illustrates how a software feature is implemented or a programming issue is solved. Then, differentiated code might be used to guide the update of a smart contract in its next version. In this paper, to support the update of a target smart contract, we apply syntax and semantic similarities to discover its similar smart contracts from more than 120,000 smart contracts, and recommend the differentiated code to the target smart contract. The promising experimental results demonstrated the differentiated code can effectively support smart contract update.","PeriodicalId":6853,"journal":{"name":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","volume":"81 1","pages":"260-270"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC.2019.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 28

Abstract

Blockchain has attracted wide attention. A smart contract is a program that runs on the blockchain, and there is evidence that most of the smart contracts on the Ethereum are highly similar, as they share lots of repetitive code. In this study, we empirically study the repetitiveness of the smart contracts via cluster analysis and try to extract the differentiated code from the similar contracts. Differentiated code is defined as the source code except the repeated ones in two similar smart contracts, which usually illustrates how a software feature is implemented or a programming issue is solved. Then, differentiated code might be used to guide the update of a smart contract in its next version. In this paper, to support the update of a target smart contract, we apply syntax and semantic similarities to discover its similar smart contracts from more than 120,000 smart contracts, and recommend the differentiated code to the target smart contract. The promising experimental results demonstrated the differentiated code can effectively support smart contract update.

查看原文本刊更多论文

推荐差异化代码支持智能合约更新

区块链已经引起了广泛的关注。智能合约是一个在区块链上运行的程序，有证据表明，以太坊上的大多数智能合约都非常相似，因为它们共享大量重复的代码。在本研究中，我们通过聚类分析对智能合约的重复性进行实证研究，并尝试从相似合约中提取差异化代码。差异化代码定义为两个类似智能合约中除重复代码外的源代码，通常用于说明软件功能如何实现或编程问题如何解决。然后，可以使用差异化代码来指导下一个版本的智能合约的更新。在本文中，为了支持目标智能合约的更新，我们利用语法和语义相似性从120,000多个智能合约中发现其相似的智能合约，并向目标智能合约推荐差异化代码。实验结果表明，差异化代码可以有效地支持智能合约更新。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC)

自引率

0.00%

发文量