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Model-Driven Approaches for Conversational Agents Development: A Systematic Mapping Study
DOI:10.1109/ACCESS.2023.3293849.png)
Abstract
En 中文
Conversational agents are a piece of software widely used nowadays in several domains, such as e-commerce, customer support, education, among others. To build one, proficiency in distinct areas of knowledge is necessary. Moreover, its development demands the availability of frameworks, tools, and proposals to facilitate its application in several domain areas. Recently, the adoption of models in a software development process has increased through the application of Model-Driven Development in several areas to improve and increase productivity in software development. This work aims to provide state of the art through a Systematic Mapping Study regarding to Model-Driven Development approaches to automate or semi-automate the development of Chatbots. For this study, 429 scientific articles were analyzed, of which, after the inclusion and exclusion criteria, only 20 were considered primary studies.
Keywords:
Chatbot
model-driven engineering
model-driven development
systematic mapping study
review
conversational agent
bot
development frameworks
chatbot development methods
MDD
MDD chatbot development
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
Organization
Cited Papers
Addressing limitations of the Gait Variability Index to enhance its applicability: The enhanced GVI (EGVI)
PLOS ONE
IF0
Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
Robotics
IF0

