Using GUI ripping for automated testing of Android applications

Amalfitano, Domenico; Fasolino, Anna Rita; Tramontana, Porfirio; Carmine, Salvatore De; Memon, Atif M.

doi:10.1145/2351676.2351717

Cited by 418 publications

(313 citation statements)

References 13 publications

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“…The behaviors of the tested Android app are explored by using different exploration strategies, including random exploration [5], [15], model-based exploration [6], [19], [8], or systematic exploration [16], [7].…”

Section: Rq3: How Does the Number Of Test Cases Selected Bymentioning

confidence: 99%

“…Thus, developers are required to produce high quality mobile applications (or simply, "apps") in terms of portability, reliability and security. In recent years, a great deal of research has been performed to improve the reliability of mobile apps on mobile platform, for example, by applying automatic testing [5], [15], [6], [19], [8], [16], [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Redroid: A Regression Test Selection Approach for Android Applications

Dong

Yang

Che

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-As the mobile platform pervades human life, much research in recent years has focused on improving the reliability of mobile applications on this platform, for example by applying automatic testing. However, researchers have primarily considered testing of single version of mobile applications. Although regression testing has been extensively studied for desktop applications, and many efficient and effective approaches have been proposed, these approaches cannot be directly applied to mobile applications. We first present a bug study on real-world Android bugs to show the existence of regression bugs, which motivates the need for an efficient regression test selection technique for Android applications. Next, we introduce Redroid, a new approach to regression test selection for Android applications. Our approach leverages the combination of static impact analysis and dynamic code coverage, and identifies a subset of test cases for reexecution on the modified application version. We implement our approach for Android applications, and demonstrate its efficacy through an extensive empirical study.

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Section: Rq3: How Does the Number Of Test Cases Selected Bymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Redroid: A Regression Test Selection Approach for Android Applications

Dong

Yang

Che

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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“…In doing so, RV-Android can leverage a number of automated unit testing tools already available for Android designed to mimic and mock user behavior on the platform [18] [19], checking a large number of properties automatically.…”

Section: Integrating With Other Approachesmentioning

confidence: 99%

RV-Android: Efficient Parametric Android Runtime Verification, a Brief Tutorial

Daian

Falcone

Meredith

et al. 2015

Runtime Verification

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Abstract. RV-Android is a new freely available open source runtime library for monitoring formal safety properties on Android. RV-Android uses the commercial RV-Monitor technology as its core monitoring library generation technology, allowing for the verification of safety properties during execution and operating entirely in userspace with no kernel or operating system modifications required. RV-Android improves on previous Android monitoring work by replacing the JavaMOP framework with RV-Monitor, a more advanced monitoring library generation tool with core algorithmic improvements that greatly improve resource consumption, efficiency, and battery life considerations. We demonstrate the developer usage of RV-Android with the standard Android build process, using instrumentation mechanisms effective on both Android binaries and source code. Our method allows for both property development and advanced application testing through runtime verification. We showcase the user frontend of RV-Monitor, which is available for public demo use and requires no knowledge of RV concepts. We explore the extra expressiveness the MOP paradigm provides over simply writing properties as aspects through two sample security properties, and show an example of a real security violation mitigated by RV-Android on-device. Lastly, we propose RV as an extension to the next-generation Android permissions system debuting in Android M.

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“…In both the categories of tools mentioned above, either manual intervention is required or it is essential to run the application at least once for test case generation. Another test automation framework, GUIRipper [14] tests Android applications via their GUI by automatically exploring the application with the aim of exercising the application GUI in a structured manner. PUMA [15] is a programmable framework containing a generic UI automation and analysis.…”

Section: Related Workmentioning

confidence: 99%