A novel method using LSTM-RNN to generate smart contracts code templates for improved usability

Author:

Hao Zhihao,Zhang BobORCID,Mao Dianhui,Yen Jerome,Zhao Zhihua,Zuo Min,Li Haisheng,Xu Cheng-Zhong

Funder

national key technology r&d program of china

national office for philosophy and social sciences

beijing municipal philosophy and social science foundation

university of macau

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging Large Language Models for Automatic Smart Contract Generation;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Duration-Based Investigation of User Content Choices in the Exit of Filter Bubbles;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

3. Hierarchical Software Framework for Safe Unmanned Aerial Systems Integration into National Airspace (NAS);2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC);2024-01-08

4. A Survey on the Integration of Blockchain Smart Contracts and Natural Language Processing;Lecture Notes in Electrical Engineering;2024

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