Mai Abusair
ABSTRACT
Mobile applications may benefit from context awareness since they incur to context changes during their execution and their success depends on the user perceived quality. Context awareness requires context monitoring and system adaptation, these two tasks are very expensive especially in mobile applications. Our research aims at developing a methodology that enables effective context awareness techniques for mobile applications that allows adaptations of the mobile app to context changes so that the desired system quality properties and user satisfaction is maximized. Here effective means selecting a minimum set of context variables to monitor and a minimum set of adaptive tactics to inject into mobile applications that allows to guarantee the required software quality and to maximize the user satisfaction. In this paper, we show the devised methodology on a motivating example, detailing the ongoing work.
- Gregory D Abowd, Anind K Dey, Peter J Brown, Nigel Davies, Mark Smith, and Pete Steggles. 1999. Towards a better understanding of context and contextawareness. In International Symposium on Handheld and Ubiquitous Computing. Springer, 304–307. Google Scholar
Digital Library
- Raian Ali, Carlos Solis, Inah Omoronyia, Mazeiar Salehie, and Bashar Nuseibeh. 2012. Social adaptation: when software gives users a voice. (2012).Google Scholar
- Victor Codina, Jose Mena, and Luis Oliva. 2015. Context-Aware User Modeling Strategies for Journey Plan Recommendation. In International Conference on User Modeling, Adaptation, and Personalization. Springer, 68–79.Google Scholar
- Antinisca Di Marco, Paola Inverardi, and Romina Spalazzese. 2013. Synthesizing self-adaptive connectors meeting functional and performance concerns. In Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. IEEE Press, 133–142. Google ScholarDigital Library
- Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, and Zheng Chen. 2007. Demographic prediction based on user’s browsing behavior. In Proceedings of the 16th international conference on World Wide Web. ACM, 151–160. Google ScholarDigital Library
- Mai Abusair, Antinisca Di Marco, Paola Inverardi. 2017. Context-Aware Adaptation of Mobile Applications Driven By Software Quality and User Satisfaction. In 17th IEEE International Conference on Software Quality, Reliability and Security.Google Scholar
- ComScore team. 2014. White paper: The U.S Mobile Report. www.comscore.com.Google Scholar
- Dazhi Wang and Kishor S Trivedi. 2005. Modeling user-perceived service availability. In International Service Availability Symposium. Springer, 107–122. Google ScholarDigital Library
Index Terms
- User- and analysis-driven context aware software development in mobile computing
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