Navigation-aware and Personalized Prefetching of Network Requests in Android AppsIndustry ProgramNIER
Prefetching network requests has been advocated as a highly effective way of reducing network latency experienced by the user since it allows network responses to be generated immediately from a local cache.
In this paper we discuss how user navigation patterns can be used for developing navigation-aware techniques for personalized prefetching of network requests of Android apps. The proposed idea opens for a new family of prefetching opportunities since it focusses at a higher level of abstraction with respect to state-of-the-art approaches for network requests prefetching.
The proposed idea allows the development of approaches which adapt their prefetching behaviour according to the unique navigation patterns each user exhibits while interacting with a mobile app.
Conference DayWed 29 MayDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 18:00 | Mobile AppsJournal-First Papers / Technical Track / Software Engineering in Practice / Papers / New Ideas and Emerging Results at Mansfield / Sherbrooke Chair(s): Sandeep KuttalThe University of Tulsa | ||
16:00 20mTalk | Large-scale Empirical Study on Industrial Fake AppsSEIPIndustry Program Software Engineering in Practice Chongbin TangEast China Normal University, Sen ChenNanyang Technological University, Singapore, Lingling FanNanyang Technological University, Singapore, Lihua Xu, Yang LiuNanyang Technological University, Singapore, Zhushou TangPwnzen Infotech Inc., Liang DouEast China Normal University | ||
16:20 20mTalk | Practical Android Test Recording with Espresso Test RecorderSEIPIndustry Program Software Engineering in Practice | ||
16:40 20mTalk | Mimic: UI Compatibility Testing System for Android AppsTechnical Track Technical Track Taeyeon KiSamsung Research America, Chang Min ParkUniversity at Buffalo, The State University of New York, Karthik DantuUniversity at Buffalo, The State University of New York, Steve KoUniversity at Buffalo, The State University of New York, Lukasz ZiarekSUNY Buffalo, USA | ||
17:00 20mTalk | IconIntent: Automatic Identification of Sensitive UI Widgets based on Icon Classification for Android AppsTechnical Track Technical Track Xusheng XiaoCase Western Reserve University, Xiaoyin WangUniversity of Texas at San Antonio, USA, Zhihao CaoCase Western Reserve University, Hanlin WangCase Western Reserve University, Peng GaoPrinceton University Pre-print | ||
17:20 10mTalk | Studying Bad Updates of Top Free-to-Download Apps in the Google Play StoreIndustry ProgramJournal-First Journal-First Papers Safwat HassanQueens University, Kingston, Canada, Cor-Paul BezemerUniversity of Alberta, Canada, Ahmed E. HassanQueen's University | ||
17:30 10mTalk | Navigation-aware and Personalized Prefetching of Network Requests in Android AppsIndustry ProgramNIER New Ideas and Emerging Results Ivano MalavoltaVrije Universiteit Amsterdam, Francesco NoceraPolytechnic University of Bari, Patricia LagoVrije Universiteit Amsterdam, Marina MongielloPolytechnic University of Bari, Italy Pre-print Media Attached | ||
17:40 20mTalk | Discussion Period Papers | ||