NDLI: Automatic Testing of Natural User Interfaces

Content Provider	IEEE Xplore Digital Library
Author	Hunt, C.J. Brown, G. Fraser, G.
Copyright Year	2014
Description	Author affiliation: Univ. of Sheffield, Sheffield, UK (Hunt, C.J.; Brown, G.; Fraser, G.)
Abstract	Automated test generation can effectively explore programs through their programmer interfaces and traditional graphical user interfaces, but the recent advent of natural user interfaces (NUI) based on motion and gesture detection, for example the Microsoft Kinect, has outrun software testing research. This leaves a rapidly growing domain of software ranging from entertainment to medical applications without suitable test automation techniques. To address this issue, we propose a technique that automatically tests Kinect-based applications by synthesising realistic sequences of skeletal movement. The novel test cases are generated by a statistical model, which is trained on a corpus of common gestures. Evaluation on a gesture-controlled Kinect web browser application demonstrates that our approach achieves significantly higher code coverage than random test inputs.
Starting Page	123
Ending Page	132
File Size	913762
Page Count	10
File Format	PDF
ISBN	9781479922550
DOI	10.1109/ICST.2014.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kinect test case generation Markov processes system testing Skeleton Vectors natural user interfaces Browsers Testing Graphical user interfaces
Content Type	Text
Resource Type	Article

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