Nowadays, the mobile operating systems market (Android, IOS, Windows Phone …) continues to grow. It has become a real challenge for application vendors to provide versatile applications in this competitive market in a short time. The challenge is even greater if the application is planned for multiple platforms whose the operating systems uses different technologies, namely, IOS/Objective-C environment for the Phone and the IPad, Java SDK for Android, etc. This fragmentation makes mobile application development rather difficult and very expensive, hence the use of cross-platform development. To address the cross-platform development different approach exist, the choice was focused on the MDA approach whose principle is the elaboration of various UML models. By studying in detail various target platforms on the basis of a set of criteria and performing a model for each criterion, the aim of our research work is to elaborate a meta-model from UML models realized for each platform.
Abstract-The topic of identifying the similarity of graphs was considered as highly recommended research field in the Web semantic, artificial intelligence, the shape recognition and information research. One of the fundamental problems of graph databases is finding similar graphs to a graph query. Existing approaches dealing with this problem are usually based on the nodes and arcs of the two graphs, regardless of parental semantic links. For instance, a common connection is not identified as being part of the similarity of two graphs in cases like two graphs without common concepts, the measure of similarity based on the union of two graphs, or the one based on the notion of maximum common sub-graph (SCM), or the distance of edition of graphs. This leads to an inadequate situation in the context of information research. To overcome this problem, we suggest a new measure of similarity between graphs, based on the similarity measure of Wu and Palmer. We have shown that this new measure satisfies the properties of a measure of similarities and we applied this new measure on examples. The results show that our measure provides a run time with a gain of time compared to existing approaches. In addition, we compared the relevance of the similarity values obtained, it appears that this new graphs measure is advantageous and offers a contribution to solving the problem mentioned above.
This article describes how these days the mobile application market keeps getting bigger because of the different mobile operating systems. So, it has become a challenge for application vendors to provide an application planned for multiple platforms whose operating systems use different technologies. This fragmentation makes the development of mobile applications quite difficult and very expensive. This can be observed at all levels, data storage, software architecture, user interface, access to phone data, communication between applications, etc. To resolve this problem, several solutions exist in the mobile market to develop mobile applications according to the principle “develops once, use everywhere”. In this article, the authors propose a solution based on the MDA approach called “TimPhoneGenerator”. Using TimPhoneGenerator, applications only need to be coded once for all targeted platforms, which reduces development time and costs.
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