Smart mobiles as the most affordable and practical ubiquitous devices participate heavily in the enhancement of our daily life by the use of many convenient applications. However, the significant number of mobile users in addition to their heterogeneity (different profiles and contexts) obligates developers to enhance the quality of their apps by making them more intelligent and more flexible. This is realized mainly by analyzing mobile user’s data. Machine learning (ML) technology provides the methodology and techniques needed to extract knowledge from data to facilitate decision-making. Therefore, both developers and researchers affirm the benefits of combining ML techniques and mobile technology in several application fields as e-health, e-learning, e-commerce, and e-coaching. Thus, the purpose of this paper is to have an overview of the use of ML techniques in the design and development of mobile applications. Therefore, we performed a systematic mapping study of papers published on this subject in the period between 1 January 2007 and 31 December 2019. A total number of 71 papers were selected, studied, and analyzed according to the following criteria, year, sources and channel of publication, research type, and methods, kind of collected data, and finally adopted ML models, tasks, and techniques.

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智能移动应用程序：系统映射研究

智能手机是最便宜，最实用的无处不在的设备，它通过使用许多便捷的应用程序来极大地改善我们的日常生活。但是，除了异构性（不同的配置文件和上下文）外，大量的移动用户还使开发人员有义务通过使其更加智能和更加灵活来提高其应用程序的质量。这主要是通过分析移动用户的数据来实现的。机器学习（ML）技术提供了从数据中提取知识以促进决策所需的方法和技术。因此，开发人员和研究人员都肯定了将ML技术和移动技术相结合在电子医疗，电子学习，电子商务和电子教练等多个应用领域中的好处。从而，本文的目的是概述ML技术在移动应用程序设计和开发中的使用。因此，我们对2007年1月1日至2019年12月31日期间有关该主题的论文进行了系统的作图研究。根据以下标准，年份，来源和渠道，总共选择，研究和分析了71篇论文。的出版，研究类型和方法，收集的数据种类，最后采用ML模型，任务和技术。