Automated Test Selection for Android Apps Based on APK and Activity Classification

Ardito, Luca; Coppola, Riccardo; Leonardi, Simone; Morisio, Maurizio; Buy, Ugo

doi:10.1109/access.2020.3029735

Cited by 18 publications

(14 citation statements)

References 28 publications

(44 reference statements)

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“…The demand for high-quality software applications has fuelled research into software testing [18,19], particularly GUI testing. Previous systematic studies mainly focus on specific aspects of GUI testing, that is, test input generation [20][21][22], automated testing [23,24] etc.…”

Section: Related Workmentioning

confidence: 99%

“…It's a challenging task to explore and understand the behaviour of these apps. Various techniques [19,54] have been proposed to explore sequences of events in the apps' GUIs efficiently. Nonetheless, the rising sophistication of mobile apps remains a challenge for researchers on how to understand the app behaviour better and explore event sequences for effective testing efficiently.…”

Section: Challenges and Research Opportunitiesmentioning

confidence: 99%

See 1 more Smart Citation

A systematic mapping study for graphical user interface testing on mobile apps

Nie

Said²,

et al. 2023

IET Software

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Mobile apps with tested Graphical User Interface (GUI) tend to have higher downloads in the apps store. In recent years, few efforts were made to analyse the research community and research status of the literature for GUI testing on mobile apps, which brings an obstacle to characterise and understand this field. In this study, the authors propose a systematic mapping study to gain insights into the field. First, the authors conduct an extensive search of relevant literature over seven popular digital libraries. From 4427 candidate studies, 114 primary studies published between January 2011 and September 2022 were selected. Next, the authors analyse these primary studies from the perspectives of bibliometric and qualitative analysis. For the bibliometric analysis, first, the authors analyse the popular research topics and their relationships. Second, the authors study the authors' community. For the qualitative analysis, the authors analyse the objectives, approaches and evaluation metrics employed in these primary studies. Their investigation reports several major findings: (1) there are relatively more studies on two topics, that is, test case generation and the automated test; (2) the most productive authors tend to collaborate and often have relatively broad research interests; (3) the functionality is the main objective of GUI testing; the model-based approach is the most widely used.

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Section: Related Workmentioning

confidence: 99%

Section: Challenges and Research Opportunitiesmentioning

confidence: 99%

A systematic mapping study for graphical user interface testing on mobile apps

Nie

Said²,

et al. 2023

IET Software

View full text Add to dashboard Cite

show abstract

“…Ardito et. al [47] introduce a testing framework which contains a test script language (1) for writing generic test scripts, a modeler (2) to define activities and widgets of the application, a classifier (3) to determine type of the application under test, an activity classifier (4) to define objective of the screens, and an adapter (5) for execution of implemented test scripts on the application. They utilize a deep neural network for the classification phase of the framework that are evaluated on 32 different mobile applications.…”

Section: Gui Testingmentioning

confidence: 99%

“…Therefore, the current work focuses on the model-based testing approaches due to their robustness and determinism. In contrast to the current methodology, the approaches in [46], [47] provides a solution for GUI testing of mobile applications.…”

Section: Gui Testingmentioning

confidence: 99%

Model-Based Ideal Testing of GUI Programs–Approach and Case Studies

et al. 2021

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Traditionally, software testing is aimed at showing the presence of faults. This paper proposes a novel approach to testing graphical user interfaces (GUI) for showing both the presence and absence of faults in the sense of ideal testing. The approach uses a positive testing concept to show that the GUI under consideration (GUC) does what the user expects; to the contrary, the negative testing concept shows that the GUC does not do anything that the user does not expect, building a holistic view. The first step of the approach models the GUC by a finite state machine (FSM) that enables the model-based generation of test cases. This is always possible as the GUIs are considered as strictly sequential processes. The next step converts the FSM to an equivalent regular expression (RE) that will be analyzed first to construct test selection criteria for excluding redundant test cases and construct test coverage criteria for terminating the positive test process. Both criteria enable us to assess the adequacy and efficiency of the positive tests performed. The negative tests will be realized by systematically mutating the FSM to model faults, the absence of which are to be shown. Those mutant FSMs will be handled and assessed in the same way as in positive testing. Two case studies illustrate and validate the approach; the experiments' results will be analyzed to discuss the pros and cons of the techniques introduced.

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“…Device automation framework has been gaining popularity with device farms and device automation frameworks to enable mobile device automation frameworks. [19][20][21][22][23] Choosing the right GUI tool with accessibility, federated, and industry case studies are discussed in References 2, 24-31. Automation frameworks based on GUI Models are expected to ease the automation activity.…”

Section: Review Of Literaturementioning

confidence: 99%

A survey on software test automation return on investment, in organizations predominantly from Bengaluru, India

Reanzi

Thangaiah

2021

International Journal of Engineering Business Management

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Software industry has adopted automated testing widely. The most common method adopted is graphical user interface test automation for the functional scenarios to reduce manual testing and increase the repeatability. Reducing execution time and redundancy to achieve quality “go/no go decisions” provides rational for the executive management to allocate funds to adopt automation and invest in the setup including people, process, and tools to achieve faster time to market. There are a variety of practices engaged by testers, like frameworks, tools, methods, procedures, models, and technologies to achieve automation. Nonetheless, the actual effectiveness in terms of return on investment (ROI) is not known, though there are various formulas to calculate ROI of test automation. The factors that determine the ROI are maturity of test automation, purpose, or intent, picking right tests for automation, knowledge of the tester to derive test coverage, domain expertise, defining right metrics like defects found by automation runs, cost versus reduction of time, labor versus quality of scripts, repeatability, and results. These factors form the base of the questions designed for the survey. The paper presents a survey and analysis to understand the ROI of test automation from industry test professionals from both product and services organizations.

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Automated Test Selection for Android Apps Based on APK and Activity Classification

Cited by 18 publications

References 28 publications

A systematic mapping study for graphical user interface testing on mobile apps

A systematic mapping study for graphical user interface testing on mobile apps

Model-Based Ideal Testing of GUI Programs–Approach and Case Studies

A survey on software test automation return on investment, in organizations predominantly from Bengaluru, India

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