Chat2Code: Towards conversational concrete syntax for model specification and code generation, the case of smart contracts

TL;DR

This paper explores integrating conversational chatbots into Model-Driven Engineering to enable non-technical users to generate smart contract code across multiple languages more easily and accurately.

Contribution

It introduces a conversational syntax approach for model specification and code generation, making MDE tools more accessible to non-technical users.

Findings

User survey shows high usability and satisfaction

Effective multi-language smart contract code generation demonstrated

Enhanced accessibility for non-technical users in code creation

Abstract

The revolutionary potential of automatic code generation tools based on Model-Driven Engineering (MDE) frameworks has yet to be realized. Beyond their ability to help software professionals write more accurate, reusable code, they could make programming accessible for a whole new class of non-technical users. However, non-technical users have been slow to embrace these tools. This may be because their concrete syntax is often patterned after the operations of textual or graphical interfaces. The interfaces are common, but users would need more extensive, precise and detailed knowledge of them than they can be assumed to have, to use them as concrete syntax. Conversational interfaces (chatbots) offer a much more accessible way for non-technical users to generate code. In this paper, we discuss the basic challenge of integrating conversational agents within Model-Driven Engineering (MDE) frameworks, then turn to look at a specific application: the auto-generation of smart contract code in multiple languages by non-technical users, based on conversational syntax. We demonstrate how this can be done, and evaluate our approach by conducting user experience survey to assess the usability and functionality of the chatbot framework.