DocumentCode :
3723006
Title :
Testing Cross-Platform Mobile App Development Frameworks (T)
Author :
Nader Boushehrinejadmoradi;Vinod Ganapathy;Santosh Nagarakatte;Liviu Iftode
fYear :
2015
Firstpage :
441
Lastpage :
451
Abstract :
Mobile app developers often wish to make their apps available on a wide variety of platforms, e.g., Android, iOS, and Windows devices. Each of these platforms uses a different programming environment, each with its own language and APIs for app development. Small app development teams lack the resources and the expertise to build and maintain separate code bases of the app customized for each platform. As a result, we are beginning to see a number of cross-platform mobile app development frameworks. These frameworks allow the app developers to specify the business logic of the app once, using the language and APIs of a home platform (e.g., Windows Phone), and automatically produce versions of the app for multiple target platforms (e.g., iOS and Android). In this paper, we focus on the problem of testing cross-platform app development frameworks. Such frameworks are challenging to develop because they must correctly translate the home platform API to the (possibly disparate) target platform API while providing the same behavior. We develop a differential testing methodology to identify inconsistencies in the way that these frameworks handle the APIs of the home and target platforms. We have built a prototype testing tool, called X-Checker, and have applied it to test Xamarin, a popular framework that allows Windows Phone apps to be cross-compiled into native Android (and iOS) apps. To date, X-Checker has found 47 bugs in Xamarin, corresponding to inconsistencies in the way that Xamarin translates between the semantics of the Windows Phone and the Android APIs. We have reported these bugs to the Xamarin developers, who have already committed patches for twelve of them.
Keywords :
"Mobile communication","Smart phones","Computer bugs","Testing","Software","Libraries"
Publisher :
ieee
Conference_Titel :
Automated Software Engineering (ASE), 2015 30th IEEE/ACM International Conference on
Type :
conf
DOI :
10.1109/ASE.2015.21
Filename :
7372032
Link To Document :
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