A taxonomy of metrics for GUI-based testing research: A systematic literature review

Coppola, Riccardo; Alégroth, Emil

doi:10.1016/j.infsof.2022.107062

Cited by 9 publications

(4 citation statements)

References 44 publications

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“…Finally, some other GUI-based testing tools use JSON for artifact representation, demonstrating the usability of JSON for GUI-based testing, e.g., Selenium Web IDE 4 or Graphwalker 5 .…”

Section: Technical Implication(s)mentioning

confidence: 97%

“…GUI-based testing is the practice of testing a SUT's conformance to its functional requirements through its GUI [3], [4]. In automated GUI-based testing, tests are written as test scripts or code, or are based on a visual, textual, or formal model [9].…”

Section: A Augmented Testing With Scoutmentioning

confidence: 99%

“…Developers and testers incorporate automated tests on multiple levels of a system's abstraction, from low-level unit tests to high-level system tests and Graphical User Interface (GUI) tests. In particular, GUI-based tests can verify the behavior of a system through interactions with its GUI, similar to what a user would do [3], [4].…”

Section: Introductionmentioning

confidence: 99%

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We Tried and Failed: An Experience Report on a Collaborative Workflow for GUI-based Testing

Bauer

Alégroth

2023

2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

Self Cite

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Modern software development is a team-based effort supported by tools, processes, and practices. One integral part is automated testing, where developers incorporate automated tests on multiple levels of system abstraction, from low-level unit tests to high-level system tests and Graphical User Interface (GUI) tests. Furthermore, the common practices of code reviews allow collaboration on artifacts based on discussions that improve the artifact's quality and to share information within the team. However, the characteristics of GUI-based tests, due to the level of abstraction and visual elements, introduce additional requirements and complexities compared to code or lower-level test code review, delimiting the practice benefts.The objective of this work is to propose a tool-supported workfow that enables active collaboration among stakeholders and improves the effciency and effectiveness of team-based development of GUI-based tests.To evaluate the workfow, and show proof of concept, a technical demonstrator for merging of GUI-based tests was to be developed. However, during its development, we encountered several unforeseen challenges that forced us to halt its development. We report the negative results from this development and the main challenges we encountered, as well as the rationale and the decisions we took towards this workfow.In conclusion, this work presents a negative research result on a failed attempt to propose a tool-supported workfow that enables active collaboration on GUI-based tests. The outcome and learnings of this work are intended to guide future research and prevent researchers from falling into the same pitfalls we did.

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“…Finally, some other GUI-based testing tools use JSON for artifact representation, demonstrating the usability of JSON for GUI-based testing, e.g., Selenium Web IDE 4 or Graphwalker 5 .…”

Section: Technical Implication(s)mentioning

confidence: 97%

Section: A Augmented Testing With Scoutmentioning

confidence: 99%

See 1 more Smart Citation

We Tried and Failed: An Experience Report on a Collaborative Workflow for GUI-based Testing

Bauer

Alégroth

2023

2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

Self Cite

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“…Qt is a cross-platform framework for C++ GUI applications. It is a fully object-oriented interface that can provide the developers with almost all the functions required to build art-grade graphics [17,18]. The Qt GUI provides a user interface of a computer operating environment that is displayed graphically, which is applied for user-friendly operations through windows, menus, and keystrokes.…”

Section: Establishment Of the Integrated Framework Of Uncertainty Qua...mentioning

confidence: 99%

Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification

Pang

Wang

et al. 2023

Energies

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The uncertainty quantification is an indispensable part for the validation of the nuclear safety best-estimate codes. However, the uncertainty quantification usually requires the combination of statistical analysis software and nuclear reactor professional codes, and it consumes huge computing resources. In this paper, a design method of coupling interface between DAKOTA Version 6.16 statistical software and nuclear reactor professional simulation codes is proposed, and the integrated computing workflow including interface pre-processing, code batching operations, and interface post-processing can be realized. On this basis, an integrated framework of uncertainty quantification is developed, which is characterized by visualization, convenience, and efficient computing. Meanwhile, a typical example of small-break LOCA analysis of the LOBI test facility was used to validate the reliability of the developed integrated framework of uncertainty quantification. This research work can provide valuable guidance for developing an autonomous uncertainty analysis platform in China.

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A Framework for the Gamification of GUI Testing

Coppola,

Ardito,

Fulcini

et al. 2023

Software Engineering for Games in Serious Contexts

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A taxonomy of metrics for GUI-based testing research: A systematic literature review

Cited by 9 publications

References 44 publications

We Tried and Failed: An Experience Report on a Collaborative Workflow for GUI-based Testing

We Tried and Failed: An Experience Report on a Collaborative Workflow for GUI-based Testing

Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification

A Framework for the Gamification of GUI Testing

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