Obstacles and opportunities in deploying model‐based GUI testing of mobile software: a survey

Janicki, Marek; Katara, Mika; Pääkkönen, Tuula

doi:10.1002/stvr.460

Cited by 23 publications

(17 citation statements)

References 15 publications

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“…Janicki et al [144] surveyed the obstacles and opportunities in deploying model-based GUI testing of mobile apps. Unlike conventional automatic test execution, model-based testing goes one step further by considering the automation of test generation phases as well.…”

Section: Related Workmentioning

confidence: 99%

Automated Testing of Android Apps: A Systematic Literature Review

et al. 2019

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Automated testing of Android apps is essential for app users, app developers and market maintainer communities alike. Given the widespread adoption of Android and the specificities of its development model, the literature has proposed various testing approaches for ensuring that not only functional requirements but also non-functional requirements are satisfied. In this paper, we aim at providing a clear overview of the state-of-the-art works around the topic of Android app testing, in an attempt to highlight the main trends, pinpoint the main methodologies applied and enumerate the challenges faced by the Android testing approaches as well as the directions where the community effort is still needed. To this end, we conduct a Systematic Literature Review (SLR) during which we eventually identified 103 relevant research papers published in leading conferences and journals until 2016. Our thorough examination of the relevant literature has led to several findings and highlighted the challenges that Android testing researchers should strive to address in the future. After that, we further propose a few concrete research directions where testing approaches are needed to solve recurrent issues in app updates, continuous increases of app sizes, as well as the Android ecosystem fragmentation. 1 INTRODUCTION Android smart devices have become pervasive after gaining tremendous popularity in recent years. As of July 2017, Google Play, the official app store, is distributing over 3 million Android applications (i.e., apps), covering over 30 categories ranging from entertainment and personalisation apps to education and financial apps. Such popularity among developer communities can be attributed to the accessible development environment based on familiar Java programming language as well as the availability of libraries implementing diverse functionalities [1]. The app distribution ecosystem around the official store and other alternative stores such as Anzhi and AppChina is further attractive for users to find apps and organisations to market their apps [2]. Unfortunately, the distribution ecosystem of Android is porous to poorly-tested apps [3]-[5]. Yet, as reported • ξ The corresponding author.

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Section: Related Workmentioning

confidence: 99%

Automated Testing of Android Apps: A Systematic Literature Review

et al. 2019

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“…Therefore, figuring out the dependency between the GUI actions is the key process in the GUI test case generation module. Mobile applications can be modeled using different types of models . MBT is introduced as a feasible approach to test mobile applications in an effective and efficient way .…”

Section: The Proposed Architecturementioning

confidence: 99%

Automated parallel GUI testing as a service for mobile applications

Ali

Maghawry

Badr

2018

J Software Evolu Process

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Recently, testing mobile applications is gaining much attention due to the widespread of smartphones and the tremendous number of mobile applications development. It is essential to test mobile applications before being released for the public use. Graphical user interface (GUI) testing is a type of mobile applications testing conducted to ensure the proper functionality of the GUI components. Typically, GUI testing requires a lot of effort and time whether manual or automatic. Cloud computing is an emerging technology that can be used in the software engineering field to overcome the defects of the traditional testing approaches by using cloud computing resources. As a result, testing‐as‐a‐service is introduced as a service model that conducts all testing activities in a fully automated manner. In this paper, a system for mobile applications GUI testing based on testing‐as‐a‐service architecture is proposed. The proposed system performs all testing activities including automatic test case generation and simultaneous test execution on multiple virtual nodes for testing Android‐based applications. The proposed system reduces testing time and meets fast time‐to market constraint of mobile applications. Moreover, the proposed system architecture addresses many issues such as maximizing resource utilization, continuous monitoring to ensure system reliability, and applying fault‐tolerance approach to handle occurrence of any failure.

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“…(i) Understanding the functional behavior (ii) Analyzing UI/UX (user interface/user experience) (iii) Technical assessment (iv) Code conversion (v) Testing and quality insurance of the produced source code (vi) Iterative release To meet the growing demands of mobile apps porting, dedicated software engineering techniques and reverse-engineering tools (see [8][9][10]) adapted to the mobile platform remain essential in order to help developers to better understand, analyze, and maintain mobile applications [11,12].…”

Section: Introductionmentioning

confidence: 99%

Porting Mobile Apps from iOS to Android: A Practical Experience

Lamhaddab

Lachgar

Elbaamrani

2019

Mobile Information Systems

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The recent rise of smartphones has triggered a revolution in mobile development. As a result of this incremental mobile innovation, new software engineering techniques, software documentation, and tools adapted to the mobile platform remain essential in order to help developers to better understand, analyze, and bootstrap porting mobile applications. In this paper, the authors propose a model-driven reverse-engineering approach based on static analysis, which describes a semantic metamodel of the iOS mobile application and extract design information (such as user interfaces, activity diagram, entities, framework and library dependencies) in order to generate the functional specification documentation and the Android UI skeleton. Thus, aiding the project team, who has in charge porting the app to another mobile platform, to agree upon a consensus on what has to be implemented and safe development cost by auto generating the Android UI skeleton project. To experiment this approach, the authors have implemented a tool called iSpecSnapshot. Moreover, they evaluate the performance of iSpecSnapshot by an experiment involving iOS applications that are ported to Android platform.

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Obstacles and opportunities in deploying model‐based GUI testing of mobile software: a survey

Cited by 23 publications

References 15 publications

Automated Testing of Android Apps: A Systematic Literature Review

Automated Testing of Android Apps: A Systematic Literature Review

Automated parallel GUI testing as a service for mobile applications

Porting Mobile Apps from iOS to Android: A Practical Experience

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