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Journal Articles International Journal of Embedded Systems Year : 2017

Context-Driven Composition for Mobile Applications: A Metamodelling Approach

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Abstract

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. Copyright \textcopyright 2017 Inderscience Enterprises Ltd.
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Dates and versions

hal-01906801 , version 1 (27-10-2018)

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Afrah Djeddar, Hakim Bendjenna, Abdelkrim Amirat, Philippe Roose, Lawrence Chung. Context-Driven Composition for Mobile Applications: A Metamodelling Approach. International Journal of Embedded Systems, 2017, 9 (6), pp.505-522. ⟨10.1504/IJES.2017.10008944⟩. ⟨hal-01906801⟩

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