TY - GEN
T1 - A grey-box approach for automated GUI-model generation of mobile applications
AU - Yang, Wei
AU - Prasad, Mukul R.
AU - Xie, Tao
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - As the mobile platform continues to pervade all aspects of human activity, and mobile applications, or mobile apps for short, on this platform tend to be faulty just like other types of software, there is a growing need for automated testing techniques for mobile apps. Modelbased testing is a popular and important testing approach that operates on a model of an app's behavior. However, such a model is often not available or of insufficient quality. To address this issue, we present a novel grey-box approach for automatically extracting a model of a given mobile app. In our approach, static analysis extracts the set of events supported by the Graphical User Interface (GUI) of the app. Then dynamic crawling reverse-engineers a model of the app, by systematically exercising these events on the running app. We also present a tool implementing this approach for the Android platform. Our empirical evaluation of this tool on several Android apps demonstrates that it can efficiently extract compact yet reasonably comprehensive models of high quality for such apps.
AB - As the mobile platform continues to pervade all aspects of human activity, and mobile applications, or mobile apps for short, on this platform tend to be faulty just like other types of software, there is a growing need for automated testing techniques for mobile apps. Modelbased testing is a popular and important testing approach that operates on a model of an app's behavior. However, such a model is often not available or of insufficient quality. To address this issue, we present a novel grey-box approach for automatically extracting a model of a given mobile app. In our approach, static analysis extracts the set of events supported by the Graphical User Interface (GUI) of the app. Then dynamic crawling reverse-engineers a model of the app, by systematically exercising these events on the running app. We also present a tool implementing this approach for the Android platform. Our empirical evaluation of this tool on several Android apps demonstrates that it can efficiently extract compact yet reasonably comprehensive models of high quality for such apps.
UR - http://www.scopus.com/inward/record.url?scp=84874383552&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-37057-1_19
DO - 10.1007/978-3-642-37057-1_19
M3 - Conference contribution
AN - SCOPUS:84874383552
SN - 9783642370564
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 250
EP - 265
BT - Fundamental Approaches to Software Engineering - 16th International Conference, FASE 2013, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013, Proceedings
T2 - 16th International Conference on Fundamental Approaches to Software Engineering, FASE 2013, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013
Y2 - 16 March 2013 through 24 March 2013
ER -