TextX: A Python tool for Domain-Specific Languages implementation

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• 作者：I. Dejanović ; ^{igord@uns.ac.rs" class="auth_mail" title="E-mail the corresponding author} ; R. Vaderna ; G. Milosavljević ; Ž. Vuković
• 关键词：Domain-Specific Language ; Meta-model ; Model ; Model-Driven software development ; Parser ; Python
• 刊名：Knowledge-Based Systems
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：115
• 期：Complete
• 页码：1-4
• 全文大小：820 K

文摘

TextX is a meta-language and a tool for building Domain-Specific Languages in Python. It’s built on top of the Arpeggio PEG parser and takes away the burden of converting parse trees to abstract representations from language designers.

From a single grammar description, textX constructs Arpeggio parser and a meta-model in run-time. The meta-model contains all the information about the language and a set of Python classes inferred from grammar rules. The parser will parse programs/models written in the new language and construct Python object graph a.k.a. the model conforming to the meta-model.

The textX tool has support for error reporting, debugging, and meta-model and model visualization. It is used in industrial environments and teaching Domain-Specific Languages course at the Faculty of Technical Sciences in Novi Sad.

It is a free and open-source software available at GitHub under the MIT license.