In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Blockchain
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3545-3550

Defect prediction for Solidity smart contracts using network metrics

Li Xianwei
Pan Weifeng
Wang Jiale
Pan Yun
Yuan Chengxiang
School of Computer Science & Technology, Zhejiang Gongshang University, Hangzhou 310018, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0174

Abstract

Existing smart contract defect prediction methods are not aware of the impact of the internal structure of contracts on defects prediction. To fill this gap, this paper proposed a novel Solidity smart contract defect prediction method based on a network metric suite. Firstly, it constructed the abstract syntax tree(AST) of the solidity smart contract by using the Solidity-Antlr4 tool. Secondly, it built the contract network based on the AST, with nodes representing functions and attributes, and edges representing the function-call relationship between functions and the operation relationship between functions and attributes. Then, it introduced the theory in the field of complex networks to build a network metric suite for Solidity smart contracts. Finally, it build smart contract defect prediction models based on multiple regression and classification models, and compared the performance of different metric in smart contract defect prediction. Comparative results show that defect prediction models combined with network metric suite outperform corresponding models without the network metric suite.

Foundation Support

浙江省科技厅公益项目(LGF19F020007)
国家自然科学基金资助项目(62272412,61976187)
浙江省自然科学基金资助项目(LY22F020007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0174
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Technology of Blockchain
Pages: 3545-3550
Serial Number: 1001-3695(2023)12-004-3545-06

Publish History

[2023-08-09] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

李显伟, 潘伟丰, 王家乐, 等. 基于网络度量元的Solidity智能合约缺陷预测 [J]. 计算机应用研究, 2023, 40 (12): 3545-3550. (Li Xianwei, Pan Weifeng, Wang Jiale, et al. Defect prediction for Solidity smart contracts using network metrics [J]. Application Research of Computers, 2023, 40 (12): 3545-3550. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)