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Probabilistic Adaptive Random Testing
2006 Sixth International Conference on Quality Software (QSIC'06), 2006Adaptive Random Testing (ART) methods are Software Testing methods which are based on Random Testing, but which use additional mechanisms to ensure more even and widespread distributions of test cases over an input domain. Restricted Random Testing (RRT) is a version of ART which uses exclusion regions and restricts test case generation to outside of ...
Kwok Ping Chan +2 more
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Mirror adaptive random testing
Information and Software Technology, 2003Adaptive random testing (ART) has recently been introduced to improve the fault-detection effectiveness of random testing (RT) for certain types of failure-causing patterns. However, ART requires extra computations to ensure an even spread of test cases, which may render ART to be less cost-effective than RT.
Tsong Yueh Chen +3 more
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2016
Adaptations refer to the process of translating and adjusting an instrument to a new cultural context, which usually goes beyond close translations and involves various changes to the instrument in order to increase its cultural and linguistic adequacy.
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Adaptations refer to the process of translating and adjusting an instrument to a new cultural context, which usually goes beyond close translations and involves various changes to the instrument in order to increase its cultural and linguistic adequacy.
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2010 15th IEEE European Test Symposium, 2010
This paper describes the development of adaptive test in response to the ever growing need to dynamically and cost effectively tailor IC testing to discriminately manage manufacturing process variations. Various degrees of adoption are presented, together with benefits and examples of it's use. Finally, challenges for future development are discussed.
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This paper describes the development of adaptive test in response to the ever growing need to dynamically and cost effectively tailor IC testing to discriminately manage manufacturing process variations. Various degrees of adoption are presented, together with benefits and examples of it's use. Finally, challenges for future development are discussed.
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Adaptive Random Testing by Localization
11th Asia-Pacific Software Engineering Conference, 2005Based on the intuition that widely spread test cases should have greater chance of hitting the nonpoint failure-causing regions, several adaptive random testing (ART) methods have recently been proposed to improve traditional random testing (RT). However, most of the ART methods require additional distance computations to ensure an even spread of test ...
Tsong Yueh Chen, Dehao Huang
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2002
This study examines the effects of interface adaptation on user performance in HCI and CMC. No studies to date have explored the psychological effects of a combination of software performance monitoring and adaptation. This combination is the focus of the present study.
Eva Jettmar, Clifford Nass
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This study examines the effects of interface adaptation on user performance in HCI and CMC. No studies to date have explored the psychological effects of a combination of software performance monitoring and adaptation. This combination is the focus of the present study.
Eva Jettmar, Clifford Nass
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Applied Psychology, 1987
An adaptive test tailors the difficulty of the items to the ability of the examinee being tested. This article describes the general principles and models of adaptive testing beginning with the early Binet tests and continuing through state‐of‐the‐art techniques.
David J. Weiss, C. David Vale
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An adaptive test tailors the difficulty of the items to the ability of the examinee being tested. This article describes the general principles and models of adaptive testing beginning with the early Binet tests and continuing through state‐of‐the‐art techniques.
David J. Weiss, C. David Vale
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Constrained Adaptive Testing with Shadow Tests
2000The intuitive principle underlying adaptive testing is that a test has better measurement properties if the difficulties of its items match the ability of the examinee. Items that are too easy or difficult have predictable responses and cannot provide much information about the ability of the examinee. The first to formalize this principle was Birnbaum
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2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010), 2010
Erik Jan Marinissen +8 more
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Erik Jan Marinissen +8 more
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Adaptive Binning Coincidence Test for Uniformity Testing
IEEE Transactions on Signal ProcessingzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sudeep Salgia +3 more
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