Software deployment

Software engineering

Mathematical analysis

Unified Modeling Language

Programming language

Model transformation

Smart contract

Philosophy

Artificial intelligence

Set (abstract data type)

Code (set theory)

Blockchain

Telecommunications

Conversation

Pure mathematics

Consistency (knowledge bases)

Mathematics

Domain (mathematical analysis)

Domain-specific language

Smart device

Human–computer interaction

Digital subscriber line

Computer science

Model-driven architecture

World Wide Web

Linguistics

Field (mathematics)

Chatbot

Software

Computer security

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: A Chatbot for Smart Contracts’ Specification and Code Generation