iContractBot: A Chatbot for Smart Contracts’ Specification and Code Generation

Ilham A. Qasse, Shailesh Mishra, Mohammad Hamdaqa
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引用次数: 11

Abstract

Recently, Blockchain technology adoption has expanded to many application areas due to the evolution of smart contracts. However, developing smart contracts is non-trivial and challenging due to the lack of tools and expertise in this field. A promising solution to overcome this issue is to use Model-Driven Engineering (MDE), however, using models still involves a learning curve and might not be suitable for non-technical users. To tackle this challenge, chatbot or conversational interfaces can be used to assess the non-technical users to specify a smart contract in gradual and interactive manner. In this paper, we propose iContractBot, a chatbot for modeling and developing smart contracts. Moreover, we investigate how to integrate iContractBot with iContractML, a domainspecific modeling language for developing smart contracts, and instantiate intention models from the chatbot. The iContractBot framework provides a domain-specific language (DSL) based on the user intention and performs model-to-text transformation to generate the smart contract code. A smart contract use case is presented to demonstrate how iContractBot can be utilized for creating models and generating the deployment artifacts for smart contracts based on a simple conversation.
iContractBot:用于智能合约规范和代码生成的聊天机器人
最近,由于智能合约的发展,区块链技术的采用已经扩展到许多应用领域。然而,由于缺乏该领域的工具和专业知识,开发智能合约是非常有挑战性的。克服这个问题的一个有希望的解决方案是使用模型驱动工程(Model-Driven Engineering, MDE),然而,使用模型仍然涉及学习曲线,可能不适合非技术用户。为了解决这一挑战,可以使用聊天机器人或会话界面来评估非技术用户,以渐进和交互式的方式指定智能合约。在本文中,我们提出了iContractBot,一个用于建模和开发智能合约的聊天机器人。此外,我们还研究了如何将iContractBot与iContractML(一种用于开发智能合约的领域特定建模语言)集成,并从聊天机器人实例化意图模型。iContractBot框架提供基于用户意图的领域特定语言(DSL),并执行模型到文本的转换以生成智能合约代码。本文给出了一个智能合约用例,演示了如何利用iContractBot创建模型,并基于一个简单的对话为智能合约生成部署构件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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