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Journal articles on the topic 'GUI test'

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1

Gandhi, G. Mohan Doss, and Anitha S. Pillai. "Challenges in GUI Test Automation." International Journal of Computer Theory and Engineering 6, no. 2 (2014): 192–95. http://dx.doi.org/10.7763/ijcte.2014.v6.860.

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Gao, Zebao, Zhenyu Chen, Yunxiao Zou, and Atif M. Memon. "SITAR: GUI Test Script Repair." IEEE Transactions on Software Engineering 42, no. 2 (February 1, 2016): 170–86. http://dx.doi.org/10.1109/tse.2015.2454510.

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Priya, G. Geetha, and B. Narendra Kumar Rao. "GUI Test Script Repair in Regression Testing." International Journal of Emerging Research in Management and Technology 6, no. 6 (June 29, 2018): 318. http://dx.doi.org/10.23956/ijermt.v6i6.289.

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GUI testing is a process of testing a software application or functionality of GUI. It is defined as an interface between user and software which provides an easy way to interact with the system. GUI plays an important role in software engineering. GUI-based application requires that a test case consists of sequences of user actions/events to be executed. Selenium is an open-source tool for testing GUI Application by executing test cases whether the GUI Application is working properly or not. In this, we present test script repair technique to repair test cases. Test script repair technique uses reverse engineering process for creating the test script. Test script repair consists of three stages; they are Ripping, Mapping and Repairing. In ripping stage, there are two relationships for representing event interaction of GUI Application. During ripping we know the location of each widget. In mapping stage,original GUI events are mapped to an event-flow graph (EFG). In repairing stage, Event flow graph uses repairing transformations and human input to modified script to repair the test cases, and synthesizes a new “repaired” test script. During this process, test script repair uses GUI objects for yielding a final test script that can be executed using selenium tool to validate the GUI Application. An experiment using selenium tool to test, test cases suggests that it is effective in that unusable test scripts are repaired. Annotations significantly reduced the human cost to repair test cases.
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Fang, Xiaoxin, Bin Sheng, Ping Li, Dan Wu, and Enhua Wu. "Automatic GUI test by using SIFT matching." China Communications 13, no. 9 (September 2016): 227–36. http://dx.doi.org/10.1109/cc.2016.7582314.

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5

Mateo Navarro, Pedro Luis, Diego Sevilla Ruiz, and Gregorio Martínez Pérez. "A Proposal for Automatic Testing of GUIs Based on Annotated Use Cases." Advances in Software Engineering 2010 (November 5, 2010): 1–8. http://dx.doi.org/10.1155/2010/671284.

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This paper presents a new approach to automatically generate GUI test cases and validation points from a set of annotated use cases. This technique helps to reduce the effort required in GUI modeling and test coverage analysis during the software testing process. The test case generation process described in this paper is initially guided by use cases describing the GUI behavior, recorded as a set of interactions with the GUI elements (e.g., widgets being clicked, data input, etc.). These use cases (modeled as a set of initial test cases) are annotated by the tester to indicate interesting variations in widget values (ranges, valid or invalid values) and validation rules with expected results. Once the use cases are annotated, this approach uses the new defined values and validation rules to automatically generate new test cases and validation points, easily expanding the test coverage. Also, the process allows narrowing the GUI model testing to precisely identify the set of GUI elements, interactions, and values the tester is interested in.
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Wan, Lin, and Qiu Ling Fan. "A Test Case Reuse Strategy on GUI Software." Applied Mechanics and Materials 543-547 (March 2014): 3339–42. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3339.

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The design of test cases plays an important role in GUI software testing. If test cases can be reused effectively, test time can be much reduced. Also, repetitive work can be avoided. Thus the efficiency of testing can be enhanced a lot. In this thesis, according to the characteristics of GUI software, a novel strategy of test cases reuse was proposed, which was proved efficient in practice.
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Tao, Chuanqi, and Jerry Gao. "Building a Model-Based GUI Test Automation System for Mobile Applications." International Journal of Software Engineering and Knowledge Engineering 26, no. 09n10 (November 2016): 1605–15. http://dx.doi.org/10.1142/s0218194016710042.

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With the rapid advance of mobile computing technology and wireless networking, there is a significant increase of mobile applications (apps). This brings new business requirements and demands in mobile software testing, and causes new issues and challenges in mobile test automation. Existing mobile application testing approaches mostly concentrate on GUI-based testing, load and performance testing without considering large-scale concurrent mobile app test automation, and model-based test coverage analysis. In this paper, a mobile hierarchical GUI model is proposed to present mobile operation scenario flows and gesture features in a hierarchical manner, in order to facilitate test dependency analysis in test automation. Mobile app test coverage analysis is performed based on GUI ripping models. The paper also presents a developed system that provides a test automation solution using GUI models. Finally, the paper reports a case study to indicate the feasibility and effectiveness of the proposed approach.
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Ma, Yingzhe, and Eun-Man Choi. "Functional Test Automation for Android GUI Widgets Using XML." KIPS Transactions:PartD 19D, no. 2 (April 30, 2012): 203–10. http://dx.doi.org/10.3745/kipstd.2012.19d.2.203.

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Maitrikul, C., and Y. Limpiyakorn. "GUI Test Case Prioritization using Social Network Analysis." Journal of Physics: Conference Series 1619 (August 2020): 012020. http://dx.doi.org/10.1088/1742-6596/1619/1/012020.

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Tokgoz, Serkan, Yiya Hao, and Issa M. Panahi. "A hearing test simulator GUI for clinical testing." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1815. http://dx.doi.org/10.1121/1.5035952.

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11

Ruiz, A., and Y. W. Price. "Test-Driven GUI Development with TestNG and Abbot." IEEE Software 24, no. 3 (May 2007): 51–57. http://dx.doi.org/10.1109/ms.2007.92.

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12

Ostrand, Thomas, Aaron Anodide, Herbert Foster, and Tarak Goradia. "A visual test development environment for GUI systems." ACM SIGSOFT Software Engineering Notes 23, no. 2 (March 1998): 82–92. http://dx.doi.org/10.1145/271775.271793.

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13

Memon, A. M., M. E. Pollack, and M. L. Soffa. "Hierarchical GUI test case generation using automated planning." IEEE Transactions on Software Engineering 27, no. 2 (2001): 144–55. http://dx.doi.org/10.1109/32.908959.

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14

McMaster, Scott, and Atif Memon. "Call-Stack Coverage for GUI Test Suite Reduction." IEEE Transactions on Software Engineering 34, no. 1 (2008): 99–115. http://dx.doi.org/10.1109/tse.2007.70756.

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Et.al, In Hwan Jung. "Design and Implementation of MQTT Load Test System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 564–72. http://dx.doi.org/10.17762/turcomat.v12i6.1994.

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In this paper, we design and implement an MQTT load test tools for evaluating the performance of an MQTT appliance system which is capable of handling large amounts of MQTT traffic. The implemented system consists of a master that can centrally control the performance evaluation process and a set of clients that creates virtual MQTT devices and generates MQTT traffic. The MQTT Load Test system was developed using the Java language and the Jpcap library. We developed a GUI version load test and also developed a console mode system that can be executed in an environment where GUI is not available. Using the MQTT Load Test system implemented in this paper, we were able to effectively evaluate the performance of a high-performance MQTT Appliance, another important research topic. Since MQTT Load Test Master and Slave have developed not only the GUI version but also the Console version, it is possible to test the performance even in a remote connection situation where GUI is not supported. The experiment could be conducted in various scenarios, and the number of virtual clients that had to be created per a computer could be confirmed so that the computers participating in the experiment could generate or receive MQTT message traffic of a predetermined level. Applications: The MQTT Load Test system implemented in this paper can be used as a tool for performance evaluation of high-performance MQTT Appliances.
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Choi, Chang-Min, In-Sang Chung, and Hyeon-Soo Kim. "An automation method for GUI test using a UIA library." KIPS Transactions:PartD 18D, no. 5 (October 31, 2011): 343–56. http://dx.doi.org/10.3745/kipstd.2011.18d.5.343.

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Li, Han, He Guo, Feng Chen, Hongji Yang, and Yuansheng Yang. "Using ontology to generate test cases for GUI testing." International Journal of Computer Applications in Technology 42, no. 2/3 (2011): 213. http://dx.doi.org/10.1504/ijcat.2011.045407.

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Nass, Michel, Emil Alégroth, and Robert Feldt. "Why many challenges with GUI test automation (will) remain." Information and Software Technology 138 (October 2021): 106625. http://dx.doi.org/10.1016/j.infsof.2021.106625.

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19

M, Anit Thomas, and Chinchu Krishna S. "Automated Event-Triggered GUI Testing and Bug Reproduction for Non-Android Applications." International Journal of Innovation in Enterprise System 5, no. 02 (July 31, 2021): 172–81. http://dx.doi.org/10.25124/ijies.v5i02.99.

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Today’s mobile gadgets are seamlessly incorporating innovative features demanded by the users. Most often, the applications contain bugs or functionality issues reported by the customers. The developers are responsible for reproducing such reported bugs, which are written in natural languages. Reproducing bugs from bug reports make the bug resolution inefficient. Nowadays, various methods are adopted to reproduce crash reports for android applications. But bug reproduction for non-android applications is still a challenging task. This paper proposes a novel approach that is capable of doing bug reproduction from bug reports to help the developers to solve the functionality issues of non-android applications in an automated manner. This approach uses a UI tester called the GUI engine, which is an excel sheet. The use cases which are to be tested can be filled in the GUI engine. All the use cases are to be filled based on a particular syntax. For that purpose, the developer can make use of a set of yaml files containing all the GUI information for all the screens of the application under test. The use cases are executed in the GUI engine and conclusions are made based on the test result. The GUI engine displays two colors green and red showing the working and failing of GUI components of the application under test. So that the developer can easily identify the failing components and take actions accordingly. The test has been done with more than 1000 test cases for one region and the result shows that almost all GUI components work for this method except for animation. It has tested for software developed for US, Europe, and German regions. Also, the proposed method is found to be much faster and efficient than the existing as well as manual testing methods.
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20

Hwang, Sun-Myumg. "Test Supporter for GUI of Mobile Application Software in J2ME Platform." KIPS Transactions:PartD 16D, no. 3 (June 30, 2009): 361–70. http://dx.doi.org/10.3745/kipstd.2009.16-d.3.361.

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21

Zhang, Fan, Li Ping Zhang, and Tian Jie Wang. "Development of a GUI Application for the Safety Performance Test of Outdoor Fitness Equipment Using C#." Advanced Materials Research 542-543 (June 2012): 604–8. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.604.

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A GUI application has been developed for the safety performance test of the outdoor fitness equipment using C#. Complied with the GB 19272-2011 requirements, it can be applied to fatigue performance test, stability test and impact deformation test. The application communicates with the Omron PLC via Host Link protocol and monitors the testing process. Measurement studio 2010 has been applied to the GUI application to provide engineering-specific component controls. The test report is generated via word automation and embedded in the application window; crucial data is protected from unexpected alteration.
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22

Suman, Suman, and R. S. Chhillar. "Generate Optimized GUI Test Sequence using GA and Fuzzy Logic." International Journal of Computer Applications 102, no. 12 (September 18, 2014): 8–11. http://dx.doi.org/10.5120/17865-8783.

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23

JIANG, Qin, Lin-lan LIU, Xi SU, and Ke CAI. "Test path generation approach for GUI based on event weight." Journal of Computer Applications 29, no. 5 (July 27, 2009): 1382–84. http://dx.doi.org/10.3724/sp.j.1087.2009.01382.

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24

., K. V. Maruthi Prasad. "A DISTINCT APPROACH FOR X/MOTIF APPLICATION GUI TEST AUTOMATION." International Journal of Research in Engineering and Technology 03, no. 05 (May 25, 2014): 270–75. http://dx.doi.org/10.15623/ijret.2014.0305052.

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25

Isabella, A. "Study Paper on Test Case Generation for Gui Based Testing." International Journal of Software Engineering & Applications 3, no. 1 (January 31, 2012): 139–47. http://dx.doi.org/10.5121/ijsea.2012.3110.

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26

Alsmadi, Izzat, and Ahmed AlEroud. "oward Security Test Automation for Event Driven GUI Web Contents." International Journal of Computer Network and Information Security 4, no. 6 (June 26, 2012): 19–25. http://dx.doi.org/10.5815/ijcnis.2012.06.03.

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27

Yu, Zhongxing, Chenggang Bai, and Kai-Yuan Cai. "Mutation-oriented test data augmentation for GUI software fault localization." Information and Software Technology 55, no. 12 (December 2013): 2076–98. http://dx.doi.org/10.1016/j.infsof.2013.07.004.

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28

Ramler, Rudolf, Georg Buchgeher, and Claus Klammer. "Adapting automated test generation to GUI testing of industry applications." Information and Software Technology 93 (January 2018): 248–63. http://dx.doi.org/10.1016/j.infsof.2017.07.005.

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29

Vos, Tanja E. J., Peter M. Kruse, Nelly Condori-Fernández, Sebastian Bauersfeld, and Joachim Wegener. "TESTAR." International Journal of Information System Modeling and Design 6, no. 3 (July 2015): 46–83. http://dx.doi.org/10.4018/ijismd.2015070103.

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Testing applications with a graphical user interface (GUI) is an important, though challenging and time consuming task. The state of the art in the industry are still capture and replay tools, which may simplify the recording and execution of input sequences, but do not support the tester in finding fault-sensitive test cases and leads to a huge overhead on maintenance of the test cases when the GUI changes. In earlier works the authors presented the TESTAR tool, an automated approach to testing applications at the GUI level whose objective is to solve part of the maintenance problem by automatically generating test cases based on a structure that is automatically derived from the GUI. In this paper they report on their experiences obtained when transferring TESTAR in three different industrial contexts with decreasing involvement of the TESTAR developers and increasing participation of the companies when deploying and using TESTAR during testing. The studies were successful in that they reached practice impact, research impact and give insight into ways to do innovation transfer and defines a possible strategy for taking automated testing tools into the market.
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Liang, Jingming, and Qifei Jian. "Simulation and Test of a Fuel Cell Hybrid Golf Cart." Journal of Electrical and Computer Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/568906.

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This paper establishes the simulation model of fuel cell hybrid golf cart (FCHGC), which applies the non-GUI mode of the Advanced Vehicle Simulator (ADVISOR) and the genetic algorithm (GA) to optimize it. Simulation of the objective function is composed of fuel consumption and vehicle dynamic performance; the variables are the fuel cell stack power sizes and the battery numbers. By means of simulation, the optimal parameters of vehicle power unit, fuel cell stack, and battery pack are worked out. On this basis, GUI mode of ADVISOR is used to select the rated power of vehicle motor. In line with simulation parameters, an electrical golf cart is refitted by adding a 2 kW hydrogen air proton exchange membrane fuel cell (PEMFC) stack system and test the FCHGC. The result shows that the simulation data is effective but it needs improving compared with that of the real cart test.
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Li, Gui Zhen, Jie Li, Qiao Jiang, and Jun Liu. "The SINS Algorithm Simulation Based on GUI." Advanced Materials Research 295-297 (July 2011): 2572–76. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.2572.

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SINS algorithm and its application have made rapid development. The application of hardware simulation of strap-down navigation algorithm consumes too highly and the research phase in the laboratory is difficult to achieve, so this paper adopts computer simulation to test the algorithm. This article firstly constructed a track simulator which provides the information of the inertia device (the force and angular velocity). The data gained from the simulator is the source of SINS algorithm. In this paper, a Graphical User Interface was designed .We can enter different parameters for different trajectory to test the Euler angle algorithm, direction cosine algorithm ,quaternion algorithm and rotary normal vector algorithm .This method is simple and flexible .
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32

Kamble, Namita Mohan*, and Ramakanth Kumar P*. "Scriptless GUI Automation Testing Tool for Web Applications." International Journal of Recent Technology and Engineering 10, no. 1 (May 30, 2021): 216–19. http://dx.doi.org/10.35940/ijrte.a5849.0510121.

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Software tests must be repeated frequently throughout development cycles to attain certain quality. Every time program code is changed software assessments need to be repeated. Once created, automated tests may be run repeatedly at no extra value and they may be tons quicker than manually conducted test and free from human errors. Automated software program testing can lessen the time to run repetitive tests from days to hours. Test automation can easily run thousands of different complex test cases in each test run, so there is no manual testing involved. But Automation testing has its own disadvantages one of it is that the testers should come from a programming background. To eliminate this dependency over programmers Scriptless automation testing tools are emerging. There are many Scriptless GUI automation testing tools in the market that use various methods to achieve the goal, this paper proposes a new record and playback method to achieve the same using Selenium framework and JavaScript for web application.
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Cho, Seung-Gyu, Ihn-Seok Rhee, and Byoung-Soo Kim. "S/W Development of Flying Qualities Evaluation in Virtual Flight Test using MATLAB GUI." Journal of the Korean Society for Aeronautical & Space Sciences 41, no. 1 (January 1, 2013): 61–69. http://dx.doi.org/10.5139/jksas.2013.41.1.61.

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34

Xie, Qing, and Atif M. Memon. "Designing and comparing automated test oracles for GUI-based software applications." ACM Transactions on Software Engineering and Methodology 16, no. 1 (February 2007): 4. http://dx.doi.org/10.1145/1189748.1189752.

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Vijayakumar, E., and M. Punithavalli. "Enhanced GUI Test Case Generation Method using Two-stage Classification Method." International Journal of Computer Applications 63, no. 13 (February 15, 2013): 29–33. http://dx.doi.org/10.5120/10528-5511.

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Memon, Atif M. "Automatically repairing event sequence-based GUI test suites for regression testing." ACM Transactions on Software Engineering and Methodology 18, no. 2 (November 2008): 1–36. http://dx.doi.org/10.1145/1416563.1416564.

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37

Xun Yuan and A. M. Memon. "Generating Event Sequence-Based Test Cases Using GUI Runtime State Feedback." IEEE Transactions on Software Engineering 36, no. 1 (January 2010): 81–95. http://dx.doi.org/10.1109/tse.2009.68.

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38

Yasin, Husam N., Siti Hafizah Ab Hamid, Raja Jamilah Raja Yusof, and Muzaffar Hamzah. "An Empirical Analysis of Test Input Generation Tools for Android Apps through a Sequence of Events." Symmetry 12, no. 11 (November 18, 2020): 1894. http://dx.doi.org/10.3390/sym12111894.

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Graphical User Interface (GUI) testing of Android apps has gained considerable interest from the industries and research community due to its excellent capability to verify the operational requirements of GUI components. To date, most of the existing GUI testing tools for Android apps are capable of generating test inputs by using different approaches and improve the Android apps’ code coverage and fault detection performance. Many previous studies have evaluated the code coverage and crash detection performances of GUI testing tools in the literature. However, very few studies have investigated the effectiveness of the test input generation tools, especially in the events sequence length of the overall test coverage and crash detection. The event sequence length generally shows the number of steps required by the test input generation tools to detect a crash. It is critical to highlight its effectiveness due to its significant effects on time, testing effort, and computational cost. Thus, this study evaluated the effectiveness of six test input generation tools for Android apps that support the system events generation on 50 Android apps. The generation tools were evaluated and compared based on the activity coverage, method coverage, and capability in detecting crashes. Through a critical analysis of the results, this study identifies the diversity and similarity of test input generation tools for Android apps to provide a clear picture of the current state of the art. The results revealed that a long events sequence performed better than a shorter events sequence. However, a long events sequence led to a minor positive effect on the coverage and crash detection. Moreover, the study showed that the tools achieved less than 40% of the method coverage and 67% of the activity coverage.
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Chang, Fang Yuan. "Usability Evaluation of Eye Tracker-Based Smart Phone APP GUI Design." Applied Mechanics and Materials 644-650 (September 2014): 1400–1404. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1400.

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Usability evaluation of eye-traker based smart phone APP Graphic user interface (GUI) use innovative visual factors separate concept to design three A/B tests, thoes viusal factors are color, icon and layout. Within area of interest (AOI) method collect eye-tracking data by eye-tracker such as time to first fixation on-target, repeat fixations/ post-target fixation, number of fixation per area and percentage of fixation. As a resualt, through test and data analysis find optimal GUI prototype. This usability evaluation method is a new way of APP GUI prototype usability research and is capable of being widely used in relevant research.
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Prabyai, Suebpong, Yotravee Waythongkhum, and Patiya Pattanasak. "Development of 3D models for faculty of education database system via monitor’s graphical user interface interactive for perception and utilization." E3S Web of Conferences 244 (2021): 07004. http://dx.doi.org/10.1051/e3sconf/202124407004.

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This study is a research and development study that used systematic approaches as an operational concept. The objectives of the study included: (1) To study the usage demands of an on-screen interactive Graphical User Interface (GUI) for the Faculty of Education database. (2) To create 3D models and study their efficiency in the usage of an on-screen interactive GUI for the Faculty of Education database. (3) To evaluate the perception and utilization of 3D models in the usage of an on-screen interactive GUI for the Faculty of Education database. The population in this study included; (1) 100 staff and students in the Faculty of Education – who were selected using Purposive Sampling to study usage demands of an on-screen interactive GUI for the Faculty of Education database. (2) 5 experts and 40 staff and students of the Faculty of Education – who were selected using Purposive Sampling to study the efficiency of 3D models in the usage of an on-screen interactive GUI for the Faculty of Education database. (3) 300 staff and students of Ramkhamhaeng University who used 3D models with the on-screen interactive GUI of the Faculty of Education database within the 1-month test period of the study. The research instruments used in this study were: (1) a questionnaire about usage demands of an on-screen interactive GUI for the Faculty of Education database, (2) an expert opinion evaluation form, and (3) an assessment form for perception and utilization of 3D models in the usage of an on-screen interactive GUI for the Faculty of Education database – all of which were found with .930 reliability and item discrimination values between .71 - .85.
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Wu, Yu Mei, and Zhi Fang Liu. "Analysis of OCR Design and Implementation for GUI Modeling." Applied Mechanics and Materials 128-129 (October 2011): 1303–7. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1303.

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Many efforts have been taken to achieve automated Graphical User Interface (GUI) testing. The most popular way is model-based testing, which supports automated test case generation and execution. But building such a model is a non-trivial task, which usually costs the most work-load in the entire testing process. Most of the approaches about automated model deriving are dependant on the programming language or specific OS. In this paper, we proposed a new approach of GUI modeling using Optical Character Recognition (OCR), and technical poblems encountered have been analyzed in deatail. Case study shows that our approach is capable of analyzing most of the GUI windows, and generating corresponding model and hence eliminates the above constraint.
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42

Kobus, David A., and Nancy Staggers. "Text-Based versus Graphic Displays in Healthcare: Comparing User Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 26 (July 2000): 173–76. http://dx.doi.org/10.1177/154193120004402611.

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The intent of this project was to design and evaluate a Graphic User Interface (GUI) that would enhance user performance compared to an existing TEXT-based system used for nursing orders. Ninety-eight nurses (48 females, 50 males) volunteered to participate in the study, which required the completion of four types of nursing orders (Activate, Change, Discontinue, and Create) using each interface. Data collection software was developed to record the time necessary to complete each assigned order and to accumulate the number of keystrokes used to complete each trial. Each participant completed 5 training trials, 4 practice trials, and 40 test trials using each interface. A three-way Interface (2) X Block (4) X Order Type (4) within group design analysis was completed. The GUI interface was significantly easier to learn and faster to use for nursing orders management. Tasks were completed using the GUI display nearly twice as fast as the TEXT-based interface, even after substantial practice on both systems. Most importantly, using the GUI also produced significantly fewer errors than using the TEXT-based interface. It is clear that a GUI interface saves nursing time and reduces errors compared to a TEXT-based interface for nursing orders management. In fact, potentially 1–1.5 hours per day per nurse could be saved using a GUI display.
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43

Chaudhary, Neha, and O. P. Sangwan. "Multi Objective Test Suite Reduction for GUI Based Software Using NSGA-II." International Journal of Information Technology and Computer Science 8, no. 8 (August 8, 2016): 59–65. http://dx.doi.org/10.5815/ijitcs.2016.08.07.

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Huang, Chin-Yu, Jun-Ru Chang, and Yung-Hsin Chang. "Design and analysis of GUI test-case prioritization using weight-based methods." Journal of Systems and Software 83, no. 4 (April 2010): 646–59. http://dx.doi.org/10.1016/j.jss.2009.11.703.

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Liu, Zhenyu, Qiang Chen, and Lizhi Cai. "Research on GUI-based Automation Test Technology Driven by Separated Definition Data." International Journal of Control and Automation 7, no. 6 (June 30, 2015): 421–32. http://dx.doi.org/10.14257/ijca.2014.7.6.39.

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Han, Wan Jiang, Sun Yi, Li Yan, Wei Jian Li, Li Ye, Han Xiao, and Liu Chi. "Study on the Defect Classification Model." Applied Mechanics and Materials 513-517 (February 2014): 4008–11. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4008.

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This paper presents the concept of defect classification model, which is based on the technology of similarity. Defect classification model can analyze software defect more efficiently and provides the basis of solving problems quickly. This paper applies this model to GUI project and gives a GUI defect classification model based on large number of interface defects. Experiments show that the model is useful to improve the process of defect management and be used for test planning and implementation.
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47

Muangsiri, Woramet, and Shingo Takada. "Random GUI Testing of Android Application Using Behavioral Model." International Journal of Software Engineering and Knowledge Engineering 27, no. 09n10 (November 2017): 1603–12. http://dx.doi.org/10.1142/s0218194017400149.

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Automated GUI testing based on behavioral model is one of the most efficient testing approaches. By mining user usage, test scenarios can be generated based on statistical models such as Markov chain. However, these works require static analysis before starting the exploration which requires too much prerequisites and time. To address these challenges, we propose a behavioral-based GUI testing approach for mobile applications that achieves faster and higher coverage. The proposed approach does not conduct static analysis. It creates a behavioral model from usage logs by applying a statistical model. The events within the behavioral model are mapped to GUI components in a GUI tree. Finally, it updates the model dynamically to increase the probability of an event that rarely or never occurs when users use the application. The proposed approach was evaluated on four open-source Android applications, and compared with the state-of-the-art tools and manual testing. The main evaluation criteria are code coverage and ability to find errors. The proposed approach performed better than the current state-of-the-art automated testing tools in most aspects.
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48

Seo, Yongjin, Daegeon Mun, and Hyeon Soo Kim. "Effect Relation-based Coverage and Test Case Generation for GUI Testing of iOS Applications." KIPS Transactions on Software and Data Engineering 2, no. 3 (March 31, 2013): 151–60. http://dx.doi.org/10.3745/ktsde.2013.2.3.151.

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49

Li, Tao, Xiao Mei Yuan, Li Chen, and Ning Zhang. "Application in Testing of Bullet Ballistic Parameters Based on Linear Charge Coupled Device." Advanced Materials Research 591-593 (November 2012): 2591–94. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.2591.

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Charge coupled device has many merits, which makes it to measure bullet parameters possible. This article starts with possibility of testing based on charge coupled device, then introduces the completed processing methods and algorithms, finally based on Matlab’s GUI, methods and algorithms integrated, through input parameters, the calculated result is seen immediately before you. This way has characteristic of simplicity and convenience. In order to make this testing system much easier and use convenient, Matlab’s GUI is used to obtain the aim. It can conclude that this testing system is very utility in test field.
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Dai, Zi Ran, Zhi Hong Huang, Hui Li, and Xi Da Yin. "The Application Study of Self-Balanced Test Method for Bearing Capacity of Foundation Piles." Advanced Materials Research 243-249 (May 2011): 2395–400. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.2395.

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This paper introduced the application of Self-balanced Test Method for Bearing Capacity of Foundation Piles on a construction project of Gui Zhou province, while sorting out and analyzing the test data, the application results indicates that the method of the static load test is an effective and convenient method of testing technique. it can popularize the use in the similar projects.
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