Recommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.

推荐系统是用于许多在线应用程序的信息过滤系统，例如音乐和视频广播以及电子商务平台。它们也越来越多地被应用于促进软件工程活动。遵循这一趋势，我们见证了对有助于建模任务和基于模型的开发过程的推荐方法的研究兴趣日益浓厚。在本文中，我们报告了系统映射综述（基于对 66 篇论文的分析），该综述对模型驱动工程 (MDE) 推荐系统的现有研究工作进行了分类。本研究旨在指导工具构建者和研究人员了解可能需要推荐的 MDE 任务、适用的推荐技术和评估方法，