Abstract
Mobile software development challenges the modeling activities that precede the technical design of a software system. The context of a mobile system includes a broad spectrum of technical, physical, social and organizational aspects. Some of these aspects need to be built into the software. Selecting the aspects that are needed is becoming increasingly more complex with mobile systems than we have previously seen with more traditional information systems. Mobile computing poses significant new challenges due the disparity of the environments in which it may be deployed and the difficulties in realizing effective software solutions within the computational constraints of the average mobile device. In this paper, we discuss the creation of such a model and its relevance for technical design of a smart agent for u-learning mobile software system. Conventional approaches to modeling of context focus either on the application domain or the problem domain. These approaches are presented and their relevance for technical design and modeling of software for agent mobile systems is discussed. The paper also reports from an empirical study where a methodology that combines both of these approaches was introduced and employed for modeling of the domain-dependent aspects that were relevant for the design of a software component for mobile agents. We also discuss some pertinent issues concerning the deployment of intelligent agents on mobile devices for certain interaction paradigms are discussed and illustrated in the context of a u-learning applications.
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Kim, HK. (2012). Modelling for Smart Agents for U-Learning Systems. In: Lee, R. (eds) Software Engineering Research,Management and Applications 2011. Studies in Computational Intelligence, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23202-2_8
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DOI: https://doi.org/10.1007/978-3-642-23202-2_8
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