An evaluation framework for cross-platform mobile app development tools: A case analysis of adobe PhoneGap framework

Ville Ahti, Sami Hyrynsalmi, Olli Nevalainen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

The 'App economy' is a highly lucrative and competitive market for independent software vendors as it potentially offers an easy highway to reach millions of users. However, the mobile application landscape is scattered and an application developer has to publish the software for several different platforms to be able to serve a majority of smartphone users. Therefore, a bunch of cross-development tools have been offered to simplify this workload. In this paper, we present an evaluation framework for comparing different cross-development tools. We use this framework to evaluate Adobe PhoneGap tool against native development in Android and Windows Phone platforms. The results of a case study reveal that while the cross-platform technique was easy to use, the appearance and usability of the app was mediocre at its best. The business impacts of these are also discussed.

Original languageEnglish
Title of host publicationComputer Systems and Technologies 17th International Conference, CompSysTech 2016 - Proceedings
Pages41-48
Number of pages8
Volume1164
ISBN (Electronic)9781450341820
DOIs
Publication statusPublished - 23 Jun 2016
Externally publishedYes
Publication typeA4 Article in conference proceedings
Event17th International Conference on Computer Systems and Technologies, CompSysTech 2016 - Palermo, Italy
Duration: 23 Jun 201624 Jun 2016

Conference

Conference17th International Conference on Computer Systems and Technologies, CompSysTech 2016
Country/TerritoryItaly
CityPalermo
Period23/06/1624/06/16

Keywords

  • Cross-platform development
  • Hybrid mobile app
  • Mobile application
  • Multi-platform

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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