Toward automatic generation of novice user test scripts

Kasik, David J.; George, Harry G.

doi:10.1145/238386.238519

Cited by 44 publications

(23 citation statements)

References 13 publications

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“…Evaluators can run simulations with different parameters in order to study various UI design tradeoffs and thus make more informed decisions about UI implementation. Simulation is also used to automatically generate synthetic usage data for analysis with log file analysis techniques [Chi et al 2000] or event playback in a UI [Kasik and George 1996]. Thus simulation can also be viewed as supporting automated capture to some degree.…”

Section: Automating Simulation Methodsmentioning

confidence: 99%

“…Kasik and George [1996] developed an automated technique for generating and capturing usage data; these data could then be used for driving tools that replay events (such as executing a log file) within Motif-based UIs. The goal of this work is to use a small number of input parameters to inexpensively generate a large number of usage traces (or test scripts) representing novice users.…”

Section: Automating Simulation Methodsmentioning

confidence: 99%

“…This is even more important for Web interfaces, since server logs do not capture a complete record of user interactions. We discussed two simulation approaches, one using a genetic algorithm [Kasik and George 1996] and the other using information scent modeling [Chi et al 2000] (see Section 8.1), that automatically generate plausible usage data. The genetic algorithm approach determines user behavior during deviation points in an expert user script, and the information scent model selects navigation paths by considering word overlap between links and Web pages.…”

Section: Expanding Log File Analysis Approachesmentioning

confidence: 99%

See 2 more Smart Citations

The state of the art in automating usability evaluation of user interfaces

2001

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Usability evaluation is an increasingly important part of the user interface design process. However, usability evaluation can be expensive in terms of time and human resources, and automation is therefore a promising way to augment existing approaches. This article presents an extensive survey of usability evaluation methods, organized according to a new taxonomy that emphasizes the role of automation. The survey analyzes existing techniques, identifies which aspects of usability evaluation automation are likely to be of use in future research, and suggests new ways to expand existing approaches to better support usability evaluation.

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Section: Automating Simulation Methodsmentioning

confidence: 99%

Section: Automating Simulation Methodsmentioning

confidence: 99%

Section: Expanding Log File Analysis Approachesmentioning

confidence: 99%

See 1 more Smart Citation

The state of the art in automating usability evaluation of user interfaces

2001

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“…However, currently available techniques for obtaining GUI test suites are resource intensive, requiring significant human intervention. Even though several automated approaches have been proposed [Shehady and Siewiorek 1997;; White and Almezen 2000; Kasik and George 1996], in practice, GUI test suites are still being developed manually using capture/replay tools [Hicinbothom and Zachary 1993]. Moreover, most GUIs are designed using rapid prototyping [Myers 1995;Wittel, Jr. and Lewis 1991;Rosenberg 1993], in which software is modified and tested on a continuous basis.…”

Section: Introductionmentioning

confidence: 99%

Automatically repairing event sequence-based GUI test suites for regression testing

Memon

2008

ACM Trans. Softw. Eng. Methodol.

118

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Although graphical user interfaces (GUIs) constitute a large part of the software being developed today and are typically created using rapid prototyping, there are no effective regression testing techniques for GUIs. The needs of GUI regression testing differ from those of traditional software. When the structure of a GUI is modified, test cases from the original GUI's suite are either reusable or unusable on the modified GUI. Because GUI test case generation is expensive, our goal is to make the unusable test cases usable, thereby helping to retain the suite's event coverage. The idea of reusing these unusable (obsolete) test cases has not been explored before. This paper shows that a large number of test cases become unusable for GUIs. It presents a new GUI regression testing technique that first automatically determines the usable and unusable test cases from a test suite after a GUI modification, then determines the unusable test cases that can be repaired so that they can execute on the modified GUI, and finally uses repairing transformations to repair the test cases. This regression testing technique along with four repairing transformations has been implemented. An empirical study for four open-source applications demonstrates that (1) this approach is effective in that many of the test cases can be repaired, and is practical in terms of its time performance, (2) certain types of test cases are more prone to becoming unusable, and (3) certain types of "dominator" events, when modified, make a large number of test cases unusable.

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“…Although employing the technique of capture-playback, functions well in CLI world but often are prone to problems which are quite significant when it is implemented for a GUI system [7]. Accordingly, to eliminate such problems, there were two ways mainly used by the testers; either the testers use data collected from GUI interaction through the underlying windowing system [8], or to build the driver into the GUI such that the commands or events can be dispatched from other programs [9].…”

Section: Introductionmentioning

confidence: 99%

Touch Free User Interface for Augmented Reality Systems

Rai

2017

Asian J Pharm Clin Res

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Augmented reality is the upcoming field of research and is often suffer from the current form of user interface. In this study, we present touch-free user interactive system for augmented reality applications to carry out multi-task operations. We validated the efficacy of the method based on the performance of several users while carrying out the complex task in our sample augmented reality game.

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Toward automatic generation of novice user test scripts

Cited by 44 publications

References 13 publications

The state of the art in automating usability evaluation of user interfaces

The state of the art in automating usability evaluation of user interfaces

Automatically repairing event sequence-based GUI test suites for regression testing

Touch Free User Interface for Augmented Reality Systems

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