Efficiency analysis of the Ionic 2 platform


Abstract

The paper presents efficiency analysis of the Ionic 2 platform. Two test applications were analysed, one written in the native Android language, Java, and the second written using the Ionic 2 framework. The following criteria were selected for the framework analysis: rendering time of various media types, fluidity, resource consumption and application working while system load. The study has shown that the framework works much slower than an application written in native Android language.


Keywords

hybrid application; Ionic; Ionic 2 Android; Efficiency of framework

[1] A. Tonini, L. Fischer, J Carlos Balzano de Mattos, L Brisolara Analysis and Evaluation of the Android Best Practices Impact on the Efficiency of Mobile Applications,
[2] https://www.radicati.com/wp/wpcontent/uploads/2014/01/Mobile-Statistics-Report-2014-2018-Executive-Summary.pdf [22.11.2017]
[3] G. Shrivastava, P. Kumar, Privacy Analysis of Android Applications: State-of-art and Literary Assessment.
[4] https://www.smartinsights.com/mobile-marketing/mobilemarketing-analytics/mobile-marketing-statistics/[21.11.2017]
[5] https://www.computerworld.pl/news/Najpopularniejszeplatformy-mobilne-wykorzystywane-w-biznesie,393299.html [17.11.2017]
[6] X. Chen; Z. Zong, Android App Energy Efficiency: The Impact of Language, Runtime, Compiler, and Implementation.
[7] S. Helal,R. Bose W. Li, Mobile Platforms and Development Environments Synthesis Lectures on Mobile and Pervasive Computing.
[8] A. Gupta, A. Gaffar H, Hybrid Application Development using Ionic Framework & AngularJS.
[9] S. Lee; J. Dolby; S. Ryu, HybriDroid: Static analysis framework for Android hybrid applications.
[10] C. Griffith, Mobile App Development with Ionic 2: CrossPlatform Apps with Ionic, Angular .& Cordova , O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, 2017-04-07.
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Published : 2018-09-30


Pyć, R., & Plechawska-Wójcik, M. (2018). Efficiency analysis of the Ionic 2 platform . Journal of Computer Sciences Institute, 7, 162-167. https://doi.org/10.35784/jcsi.671

Robert Pyć  robert.pyc@pollub.edu.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland  Poland
Małgorzata Plechawska-Wójcik 
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland  Poland