Models for Evaluating Effective Throughputs for File Transfers in Mobile Computing

Dzhagaryan, Armen; Milenkovic, Aleksandar

doi:10.1109/icccn.2016.7568547

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Smartphones, tablets, e-readers, and wearables have dominated the consumption of digital information and data traffic; the number of these devices has grown exponentially over the years [1]. The software running in such devices, so-called mobile apps (or just apps for short), radically changed the lifestyle of billions of people around the world, being used for several hours every day and helping users to perform a wide variety of activities [2].…”

Section: Introductionmentioning

confidence: 99%

Amplifying Tests for Cross-Platform Apps through Test Patterns

Assis¹,

Menegassi²,

Endo³

2019

International Conferences on Software Engineering and Knowledge Engineering

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Cross-platform app development has achieved meaningful results in practice with frameworks like React Native, Xamarin, and Apache Cordova. Unlike native apps, such frameworks support the development of a mobile app that can run in different platforms. Nevertheless, the literature lacks techniques to test cross-platform apps since most of the existing works focus on native Android apps. A promising strategy for native apps is to amplify test suites so that the specific characteristics of mobile apps can be tested. This paper aims to investigate the test amplification of cross-platform apps. To do so, we apply four test patterns that verify well-known characteristics of mobile computing and amplify existing test suites. The proposed approach has been implemented in a tool capable of generating Appium test scripts and was evaluated with nine cross-platform apps. The amplified test suites exercise new scenarios, uncovering 23 unique bugs in eight out of nine apps.

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Section: Introductionmentioning

confidence: 99%