A Reference Architecture and Manifest Standard Suggestions for Interworking Open Web Store


KIPS Transactions on Software and Data Engineering, Vol. 2, No. 11, pp. 779-788, Nov. 2013
10.3745/KTSDE.2013.2.11.779,   PDF Download:

Abstract

With a wide dissemination of smartphones, the number of native applications developed and sold freely by anyone is growing now. The application market activated by Apple`s App Store is spreading more rapidly with Google`s Google Play. But due to platform-dependent of native application`s attribute, developers are programming at each platform. As a result, development cost is increasing compared to earnings. To solve a dependency problem, people focused on web application developed by web-based language. However, stores at each browser are requiring a web application to follow manifest format. And this causes browser-dependent problem. Those problems can be solved by installing a certain browser, but this can make an application useless on the other browser of a store. Dependency problem can narrow not only user`s application variation, but also concentration on some specific store. OWS(Open Web Store) is a standard store that supports various web environments. It overcomes browser or platform dependency problems by interworking applications between stores. Also customers are able to choose a large number of applications. In this paper, related to OWS, I would like to suggest manifest standards and store`s reference architecture. An interworking scenario is going to be proposed as well.


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Cite this article
[IEEE Style]
T. J. Ryu, C. J. Kim, J. H. Jeon, S. Y. Lee, S. W. Park, "A Reference Architecture and Manifest Standard Suggestions for Interworking Open Web Store," KIPS Transactions on Software and Data Engineering, vol. 2, no. 11, pp. 779-788, 2013. DOI: 10.3745/KTSDE.2013.2.11.779.

[ACM Style]
Tae Jun Ryu, Chang Jun Kim, Jong Hong Jeon, Seung Yoon Lee, and Sang Won Park. 2013. A Reference Architecture and Manifest Standard Suggestions for Interworking Open Web Store. KIPS Transactions on Software and Data Engineering, 2, 11, (2013), 779-788. DOI: 10.3745/KTSDE.2013.2.11.779.