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A Recommender System for Robust Smart Contract Template Classification.
Sandi Gec1, Vlado Stankovski1, Dejan Lavbič1
1Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia.
This study introduces a smart contract recommender system to simplify developing low-cost EVM-enabled smart contracts for IoT environments. The system reduces development time and enhances sustainability for fog-computing applications.
Area of Science:
- Computer Science
- Distributed Systems
- Software Engineering
Background:
- Internet of Things (IoT) environments are increasingly heterogeneous, integrating cloud and third-party computing resources.
- Smart contracts are crucial for transparent resource provision and trust in these distributed environments.
- Developing smart contracts presents challenges like security, correctness, and lack of documentation.
Purpose of the Study:
- To propose a novel recommender system for facilitating the development of low-cost EVM-enabled smart contracts.
- To address the challenges faced by developers in creating secure and efficient smart contracts for heterogeneous IoT.
- To enhance the sustainability of smart contracts within fog-computing IoT architectures.
Main Methods:
- Developed a recommender system algorithm to suggest relevant smart contract templates.
- Utilized the OpenZeppelin library for classifying modular, reusable, and secure smart contracts.
- Classified smart contracts based on their relevance to fog architecture typologies.
Main Results:
- The recommender system significantly reduces smart contract development times.
- The developed smart contracts demonstrate sustainability for fog-computing IoT environments.
- The solution is applicable to low-cost EVM-based ledgers and has been implemented in the ONTOCHAIN ecosystem.
Conclusions:
- The proposed recommender system effectively streamlines smart contract development for IoT.
- The system promotes the creation of sustainable and cost-effective smart contracts for distributed environments.
- Successful implementation in ONTOCHAIN validates the system's practical applicability and value.
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