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Context-driven composition for mobile applications: a metamodelling approach

机译:移动应用的上下文驱动的组合:元模型方法

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>Nowadays, the numbers of mobile applications (apps) is undeniably explosive. This phenomenon is likely to encourage the user to expect more or less the same app to be available on just about any kind of platforms, even when there are differences in the apps that run on such platforms. In order to better fulfil user's expectations, understanding such differences - or heterogeneities - then becomes critical, as does resolving them, but is quite challenging. In this paper, we propose a technique for developing mobile device apps, through composition of existing homogeneous or heterogeneous software entities that are context-aware. As a key novelty, this technique uses a metamodelling approach in understanding and representing the differences, as well as commonalities, between reused software entities. In order to see the applicability and the effectiveness of this technique, a tool has been implemented to date, together with an application to a shop review app.
机译:>现在,移动应用程序的数量(应用程序)是无可否认的爆炸性。 这种现象可能会鼓励用户在任何类型的平台上预期更多或更少的应用程序,即使在这些平台上运行的应用程序存在差异。 为了更好地满足用户的期望,理解这种差异 - 或异质性 - 然后变得至关重要,尽可能解决它们,但是非常具有挑战性。 在本文中,我们提出了一种用于开发移动设备应用的技术,通过构成上下文或异构软件实体的构成,这些应用程序是知识意识的。 作为一个关键的新颖性,这种技术使用了一种在重复使用的软件实体之间的理解和代表差异以及常见的差异。 为了看到这种技术的适用性和有效性,该工具已经实现了迄今为止的应用程序,以及店铺审查应用程序的应用程序。

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