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.
Wed 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 Kuttal The University of Tulsa | ||
16:00 20mTalk | Large-scale Empirical Study on Industrial Fake AppsSEIPIndustry Program Software Engineering in Practice Chongbin Tang East China Normal University, Sen Chen Nanyang Technological University, Singapore, Lingling Fan Nanyang Technological University, Singapore, Lihua Xu , Yang Liu Nanyang Technological University, Singapore, Zhushou Tang Pwnzen Infotech Inc., Liang Dou East 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 Ki Samsung Research America, Chang Min Park University at Buffalo, The State University of New York, Karthik Dantu University at Buffalo, The State University of New York, Steve Ko University at Buffalo, The State University of New York, Lukasz Ziarek SUNY Buffalo, USA | ||
17:00 20mTalk | IconIntent: Automatic Identification of Sensitive UI Widgets based on Icon Classification for Android AppsTechnical Track Technical Track Xusheng Xiao Case Western Reserve University, Xiaoyin Wang University of Texas at San Antonio, USA, Zhihao Cao Case Western Reserve University, Hanlin Wang Case Western Reserve University, Peng Gao Princeton 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 Hassan Queens University, Kingston, Canada, Cor-Paul Bezemer University of Alberta, Canada, Ahmed E. Hassan Queen's University | ||
17:30 10mTalk | Navigation-aware and Personalized Prefetching of Network Requests in Android AppsIndustry ProgramNIER New Ideas and Emerging Results Ivano Malavolta Vrije Universiteit Amsterdam, Francesco Nocera Polytechnic University of Bari, Patricia Lago Vrije Universiteit Amsterdam, Marina Mongiello Polytechnic University of Bari, Italy Pre-print Media Attached | ||
17:40 20mTalk | Discussion Period Papers | ||