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End-User Programming of Mobile Services: Empowering Domain Experts to Implement Mobile Data Collection Applications

机译:移动服务的最终用户编程:授权域专家实现移动数据收集应用程序

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The widespread use of smart mobile devices (e.g., in clinical trials or online surveys) offers promising perspectives with respect to the controlled collection of high-quality data. The design, implementation and deployment of such mobile data collection applications, however, is challenging in several respects. First, various mobile operating systems need to be supported, taking the short release cycles of vendors into account as well. Second, domain-specific requirements need to be flexibly aligned with mobile application development. Third, usability styleguides need to be obeyed. Altogether, this turns both programming and maintaining mobile applications into a costly, time-consuming, and error-prone endeavor. To remedy these drawbacks, a model-driven framework empowering domain experts to implement robust mobile data collection applications in an intuitive way was realized. The design of this end-user programming framework is based on experiences gathered in real-life mobile data collection projects. Facets of various stakeholders involved in such projects are discussed and an overall architecture as well as its components are presented. In particular, it is shown how the framework enables domain experts (i.e., end users) to flexibly implement mobile data collection applications on their own. Overall, the framework allows for the effective support of mobile services in a multitude of application domains.
机译:广泛使用智能移动设备(例如,在临床试验或网上调查)提供了希望的前景相对于高质量的数据的控制集合。然而,这种移动数据收集应用程序的设计,实施和部署在几个方面都具有挑战性。首先,需要支持各种移动操作系统,也考虑到供应商的短发布周期。其次,域特定要求需要灵活地对齐移动应用程序开发。第三,需要服从可用性的样式。完全,这使编程和将移动应用程序维持成昂贵,耗时和容易出错的努力。为了解决这些缺点,赋予域专家的模型驱动框架,以实现以直观的方式实施强大的移动数据收集应用。这一最终用户编程框架的设计基于在现实生活中收集项目中收集的体验。讨论了参与此类项目的各种利益相关者的面部,并展示了整体架构及其组件。特别是,显示框架如何启用域专家(即最终用户)以自己灵活地实现移动数据收集应用程序。总的来说,该框架允许在多种应用域中有效支持移动服务。

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