基于MDD的聊天机器人自动生成案例工具

William Vásquez Parada, Fabián Andrés Giraldo, R. MariaIsabelLondoño
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引用次数: 1

摘要

本文介绍了在Facebook消息传递平台上使用模型驱动开发(MDD)为ChatBot自动生成源代码的过程。我们建议使用元模型来定义ChatBot,包括使用外部REST服务的选项。提出了两个测试场景:第一个是面向披萨和汉堡销售的ChatBot,它需要获取有关配料的外部信息(REST服务),并搜索满足用户定义的选项的商业机构。我们的第二个测试场景与IoT(物联网)元素保持一致,专门管理树莓派3卡上的Sense Hat传感器,考虑传感器如:湿度,温度,压力,加速度计和由Led矩阵表示的致动器。最后,显示了每个ChatBot的结果。这些都是从概念规范自动生成的。Chatbots部署在Facebook平台上,验证来自外部REST服务的信息消费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MDD based case tool for Automatic Generation of ChatBot
This article presents the process Automatic source code generation for ChatBot using the Model Driven Development (MDD) for Facebook Messaging platform. We propose the use of metamodel to define the ChatBot, including the option of consuming external REST services. Two test scenarios are presented: the first one is a ChatBot oriented to the sales of pizzas and hamburgers, which requires to obtain external information (REST services) on the ingredients and the search for commercial establishments that satisfy the options defined by the user. Our second test scenario is aligned with elements of IoT (Internet Of Things), specifically manages the sensors of a Sense Hat on a RaspBerry Pi 3 card, considering sensors such as: humidity, temperature, pressure, accelerometer and an actuator represented by a Led matrix. Finally, the results of each of the ChatBot are shown. these are automatically generated from the conceptual specification. The Chatbots are deployed on the Facebook platform validating the consumption of information from external REST services.
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