Pattern‐based GUI testing: Bridging the gap between design and quality assurance

Moreira, Rodrigo Martins; Paiva, Ana C. R.; Nabuco, Miguel; Memon, Atif M.

doi:10.1002/stvr.1629

Cited by 25 publications

(5 citation statements)

References 25 publications

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“…Automating GUI testing is difficult but important, and therefore a subject of intense research and development (e.g. [15,197] and references therein). Tests need to sample the input space, which consists of external data, parameterization, and user actions like mouse movements, clicks, and keyboard inputs.…”

Section: Gui Testsmentioning

confidence: 99%

Guidelines for collaborative development of sustainable data treatment software

Wuttke

Cottrell

González

et al. 2022

JNR

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Software development for data reduction and analysis at large research facilities is increasingly professionalized, and internationally coordinated. To foster software quality and sustainability, and to facilitate collaboration, representatives from software groups of European neutron and muon facilities have agreed on a set of guidelines for development practices, infrastructure, and functional and non-functional product properties. These guidelines have been derived from actual practices in software projects from the EU funded consortium ‘Science and Innovation with Neutrons in Europe in 2020’ (SINE2020), and have been enriched through extensive literature review. Besides guiding the work of the professional software engineers in our computing groups, we hope to influence scientists who are willing to contribute their own data treatment software to our community. Moreover, this work may also provide inspiration to scientific software development beyond the neutron and muon field.

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Section: Gui Testsmentioning

confidence: 99%

Guidelines for collaborative development of sustainable data treatment software

Wuttke

Cottrell

González

et al. 2022

JNR

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show abstract

“…There are various MBGT approaches, for example, using Spec Explorer in a tool chain [35], NModel tool [36], pattern‐based GUI testing [37], Finite State Machine (FSMs) to test web applications [38] and TEMA tools for testing Android applications [39], trying to reduce both the initial effort in creating the test scripts and the maintenance effort required after each change in the GUI. The difference to the script‐based testing is that in model‐based approaches the scripts are automatically generated.…”

Section: Script‐based Graphical User Interface Test Automationmentioning

confidence: 99%

testar – scriptless testing through graphical user interface

Vos

Aho

Ricós

et al. 2021

Software Testing Verif & Rel

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SummaryCovering all the possible paths of the graphical user interface (GUI) with test scripts would take too much effort and result in serious maintenance issues. We propose complementing scripted testing with scriptless test automation using the open‐source testar tool. This paper gives a comprehensive overview of testar and its latest extensions together with the ongoing and future research. With this paper, we hope we can help and encourage other researchers to use testar for their GUI testing‐related research and pave the way for an international research agenda in GUI testing built upon stable and open‐source infrastructure.

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“…Another drawback is that many recording tools record human interactions by hooking into the SUT and capturing its responses, which may not be possible to replay, leading to failed test cases. The R&R tools were also limited by their underlying technologies that made the test cases brittle [5], [9]. This brittleness caused tests to require significant maintenance efforts that diminished their return on investment.…”

Section: Fig 3 Screenshot Of the Scout Prototypementioning

confidence: 99%

On the Industrial Applicability of Augmented Testing: An Empirical Study

Nass

Alégroth

Feldt

2020

2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

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Testing applications with graphical user Interfaces (GUI) is an important but also a time-consuming task in practice. Tools and frameworks for GUI test automation can make the test execution more efficient and lower the manual labor required for regression testing. However, the test scripts used for automated GUI-based testing still require a substantial development effort and are often reported as sensitive to change, leading to frequent and costly maintenance. The efficiency of development, maintenance, and evolution of such tests are thereby dependent on the readability of scripts and the ease-of-use of test tools/frameworks in which the test scripts are defined. To address these shortcomings in existing state-of-practice techniques, a novel technique referred to as Augmented Testing (AT) has been proposed. AT is defined as testing the System Under Test (SUT) through an Augmented GUI that superimposes information on top of the SUT GUI. The Augmented GUI can provide the user with hints, test data, or other support while also observing and recording the tester's interactions. For this study, a prototype tool, called Scout, has been used that adheres to the AT concept that is evaluated in an industrial empirical study. In the evaluation, quasi-experiments and questionnaire surveys are performed in two workshops, with 12 practitioners from two Swedish companies (Ericsson and Inceptive). Results show that Scout can be used to create equivalent test cases faster, with statistical significance, than creating automated scripts in two popular state-of-practice tools. The study concludes that AT has cost-value benefits, applies to industrial-grade software, and overcomes several deficiencies of state-of-practice GUI testing technologies in terms of ease-of-use.

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Pattern‐based GUI testing: Bridging the gap between design and quality assurance

Cited by 25 publications

References 25 publications

Guidelines for collaborative development of sustainable data treatment software

Guidelines for collaborative development of sustainable data treatment software

testar – scriptless testing through graphical user interface

On the Industrial Applicability of Augmented Testing: An Empirical Study

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