SAMAF: Situation aware mobile apps framework

Feichen Shen, Yugyung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile devices have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications or apps that run on a portable computing device have recently surged in popularity. An increasing number of mobile apps and their diverse users make it difficult to select the correct app to respond to evolving situations. To address this issue, we have developed a semantic framework for mobile apps named the Situation Aware Mobile Apps Framework (SAMAF) that can achieve the goal of dynamic and automated adaptive apps for software systems responding to the mobile users' context and environmental changes. In this paper, we have implemented the SAMAF system. An assessment of the prototype of the SAMAF system has been conducted from the perspective of performance and adaptability.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages26-31
Number of pages6
ISBN (Electronic)9781479984251
DOIs
StatePublished - Jun 24 2015
Event13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
Country/TerritoryUnited States
CitySt. Louis
Period3/23/153/27/15

Keywords

  • Adaptation
  • Aware
  • Context
  • Mobile
  • Siutation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Health(social science)

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