Title :
A Quantitative Assessment of Performance in Mobile App Development Tools
Author :
Willocx, Michiel ; Vossaert, Jan ; Naessens, Vincent
Author_Institution :
MSEC, KU Leuven, Ghent, Belgium
fDate :
June 27 2015-July 2 2015
Abstract :
The popularity and maturity of mobile cross-platform tools increased considerably during the last years. They can be used to increase the efficiency during the development cycle of mobile applications. Although it is common knowledge that cross-platform tools come with a performance penalty, the size of the overhead is unclear. Our study targets the assessment of two representative cross-platform tools. This paper presents a quantitative performance analysis that is applied to a non-trivial, multi-screen app. Relevant performance properties on both low-end and high-end devices are evaluated and compared to a native Android and iOS implementation. We further reflect about the impact of the results on the user acceptance and experience, and define guidelines for the selection of a particular tool.
Keywords :
Android (operating system); iOS (operating system); mobile computing; performance evaluation; Android implementation; iOS implementation; mobile app development tools; mobile cross-platform tools; nontrivial multiscreen app; quantitative performance assessment; Androids; Humanoid robots; Mobile communication; Performance evaluation; Random access memory; Runtime; Smart phones; cross-platform tools; mobile applications; performance analysis;
Conference_Titel :
Mobile Services (MS), 2015 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7283-1
DOI :
10.1109/MobServ.2015.68