{"title":"SAMAF: Situation aware mobile apps framework","authors":"Feichen Shen, Yugyung Lee","doi":"10.1109/PERCOMW.2015.7133988","DOIUrl":null,"url":null,"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.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2015.7133988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.
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