Amatucci, Nicola (2016) Automated GUI Testing Techniques for Android Applications. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Lingua: English
Title: Automated GUI Testing Techniques for Android Applications
Date: 31 March 2016
Number of Pages: 164
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
Fasolino, Anna RitaUNSPECIFIED
Tramontana, PorfirioUNSPECIFIED
Date: 31 March 2016
Number of Pages: 164
Uncontrolled Keywords: testing, mobile, android
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Date Deposited: 03 May 2016 13:05
Last Modified: 12 May 2017 01:00


Mobile devices are integral parts of our daily lives; a little computer in our pocket has became a faithful assistant both for work than for amusement. The availability of mobile applications (commonly referred as apps) has made more and more useful bringing these devices with us everyday. The number of such applications in these years has faced a tremendous growth due to the market attractiveness; according to Forbes, by 2017 more than 270 billion mobile applications will be downloaded worldwide. The quality of a mobile application is a major concern for developers, users and application stores. According to a survey conducted by SmartBear from October to December 2013 nearly 50% of consumers will delete a mobile app if they encounter a bug. So, testing mobile applications to prevent the occurrence of software exceptions in production can be considered one of the key factor in uencing its quality together with the market response. As today, in literature many techniques have been presented aiming at testing mobile applications. In particular, many of them have been presented in the context of GUI Testing. The research activity described in this thesis is focused on proposing novel techniques and tools in the field of Automated GUI Testing for Mobile Applications. In particular, the work is targeted to the Android Operating System, that currently is the dominating operating system in the mobile devices market, although the results can be generalized to other mobile platforms.


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