Models in Graphical User Interface Testing: Study Design

Silistre, Alper; Kılınççeker, Onur; Belli, Fevzi; Challenger, Moharram; Kardaş, Geylani

doi:10.1109/uyms50627.2020.9247072

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…GUIs have proven to be more effective and user-friendly, especially for non-experts [25]- [27]. Although GUIs free the users from command memorization requirements, they are not entirely text-free and augment graphical components such as windows, icons, toolbars, wizards, ribbons, etc., with the text [28]. As argued in the previous section, the use of text in user interfaces may hamper certain individuals' ability to use information systems effectively.…”

Section: Related Workmentioning

confidence: 99%

Localized Text-Free User Interfaces

et al. 2022

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User interface is an essential element of an information system from the user perspective. The use of text in the user interface presents a challenge to some users, such as illiterate, elderly, non-local language speakers, or users with any disabilities. Numerous studies have proposed text-free user interfaces based on non-textual aids such as pictograms, audio, video, or specialized hardware. Such rich elements in the user interface have implications for an information system's storage and processing requirements. We propose using concept hierarchies to present a dynamic interface to a user based upon user characteristics. A drill-down approach may present more specific interface elements to a user, and a roll-up scheme can identify more generalized interface elements. The proposed scheme can be used to manage internal data of large user interfaces with a rich set of features more effectively as it is computationally inexpensive than sequential processing techniques. We also explore various physical and psychological characteristics of elements and evaluate user preference for them. The results of a survey of 200 respondents show that users consider the use of various colors, alignments, mental models, and look & feel to be essential criteria in interface design. We also conclude that size of interface elements and the use of characters for expressing emotions are significantly important characteristics in interface design. The future work will apply the proposed scheme to a full spectrum of applications ranging from enterprise systems to mobile applications.

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Section: Related Workmentioning

confidence: 99%

Localized Text-Free User Interfaces

et al. 2022

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“…butes Extraction n, the a ributes, such as type, ID, color, fonts, graphics, and size are extracted mprove the classification performance (Silistre et al, 2020), which is defined as,…”

Section: Dom Tree Constructionmentioning

confidence: 99%

“…In existing techniques, the GT tools are integrated with different Machine Learning (ML) and Deep Learning (DL) approaches to achieve GT based on TC generation [7,8]. The ML and DL models, including the Fuzzy Inference System (FIS), Long Short Term Memory (LSTM), and Deep Reinforcement Learning (DRL) are developed to perform GT [9]. However, these techniques struggle with complex features and samples [10].…”

Section: Introductionmentioning

confidence: 99%

An Effective GDP-LSTM and SDQL-Based Finite State Testing of GUI

Kumar,

Nitin,

Yadav

2024

Applied Sciences

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The Graphical User Interface (GUI) is the most promising factor in the Software Development Lifecycle (SDL), which allows the users to interact with the system. To ensure user-friendliness, GUI Testing (GT) is required. The traditional testing techniques attained flawed results due to having inappropriate functions. Hence, Global Decaying Probabilistic Long Short-Term Memory (GDP-LSTM) and Standard Deviation Q-Learning (SDQL)-based automatic testing for GUI are proposed as solutions. Initially, the Test Case (TC) and GUI are extracted from the historical data and are subjected to Region of Interest (ROI) analysis. Here, an appropriate ROI is analyzed by Module Coupling Slice (MCS), and it is fed into Hadoop Parallelization (HP). Now, Spectral Kernelized Gaussian Clustering (SKGC) and Non-Linear Elite Guided Optimized Ant Colony (NE-GO-AC) are used to perform mapping and reducing, respectively. Likewise, the parallelized output is utilized to construct the Document Object Model (DOM) tree. Then, the attributes are extracted and given to the GDP-LSTM classifier that effectively predicts whether GUIs are desirable or undesirable. Then, the undesirable results are inputted into a SDQL-based deviation analysis. If the deviation is low, it is assumed as an update; otherwise, it is considered as an error. The experimental analysis depicted that the proposed system attained high dominance with 98.89% accuracy in the prevailing models.

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“…In [31], [33], the authors use a very different modeling methodology than the current work using various node types for different GUI events. The advantages and disadvantages of these different models for GUI testing are elaborated in [49]. The main bottlenecks of the exploration-based solutions [41], [42] are unnecessary This work is licensed under a Creative Commons Attribution 4.0 License.…”

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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Models in Graphical User Interface Testing: Study Design

Cited by 5 publications

References 22 publications

Localized Text-Free User Interfaces

Localized Text-Free User Interfaces

An Effective GDP-LSTM and SDQL-Based Finite State Testing of GUI

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

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