Results 231 to 240 of about 4,461,179 (269)
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2014
Software more and more pervades our everyday lives. Hence, we have high requirements towards the trustworthiness of the software. Software testing greatly contributes to the quality assurance of modern software systems. However, as today's software system get more and more complex and exist in many different variants, we need rigorous and systematic ...
Malte Lochau +3 more
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Software more and more pervades our everyday lives. Hence, we have high requirements towards the trustworthiness of the software. Software testing greatly contributes to the quality assurance of modern software systems. However, as today's software system get more and more complex and exist in many different variants, we need rigorous and systematic ...
Malte Lochau +3 more
openaire +1 more source
IEEE Software, 2012
Model-based testing (MBT) strives to automatically and systematically generate test cases. In this column, Ina Schieferdecker introduces MBT technologies and methods.
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Model-based testing (MBT) strives to automatically and systematically generate test cases. In this column, Ina Schieferdecker introduces MBT technologies and methods.
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Model-Based Testing and Model Inference
2012Model-based software testing is well established, and can be traced back to Moore's "Gedanken experiments" on finite state machines from 1956 [10]. The best known approaches involve the use of models (such as UML interaction diagrams or state machines) as the basis for selecting test inputs that seek to explore the core functionality of the system ...
Karl Meinke, Neil Walkinshaw
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Model Learning and Model-Based Testing
2018We present a survey of the recent research efforts in integrating model learning with model-based testing. We distinguished two strands of work in this domain, namely test-based learning (also called test-based modeling) and learning-based testing. We classify the results in terms of their underlying models, their test purpose and techniques, and their
Bernhard K. Aichernig +4 more
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Testing Linearity for NARX Models
European Journal of Control, 1998One considers the discrete-time NARX system \[ X_{n+1}= f(X_n,X_{n-1},\dots,X_{n-p+1}) -k(X_n,\dots,X_{n-p+1}) + \zeta_{n+1}, \] where \(f\) is the unknown function, \(k\) is the known stabilizing function and \(\{\zeta_{n}\}\) is the white noise.
Jean-Michel Poggi, Bruno Portier
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Software Testing, Verification and Reliability, 2023
Yves Le Traon, Tao Xie 0001
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Yves Le Traon, Tao Xie 0001
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Modelling Ties in the Sign Test
Biometrics, 1999Summary. If ties occur in the sign test, the procedure recommended by Coakley and Heise (1996, Biometrics52, 1242–1251) is the asymptotic uniformly most powerful nonrandomised test due to Putter (1955, Annals of Mathematical Statistics26, 368–386). It may be shown that this is a consequence of how the probability of a tie is modelled.
Rayner, J. C. W., Best, D. J.
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Broadening the Tests of Learning Models
Journal of Mathematical Psychology, 1998For many years psychological studies of the learning process have used a simulated medical diagnosis task in which symptom configurations are probabilistically related to diseases. Participants are given a set of symptoms and asked to indicate which disease is present, and feedback is given on each trial. We enrich this standard laboratory task in four
Kitzis, Stephen N. +4 more
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Test of Models of Achromatic Transparency
Perception, 2006Consider an achromatic disk transparent on an achromatic background formed by two adjoining rectangles, with the common border of the rectangles dividing the disk in half. Current models of achromatic transparency contend that the perceived extent of transparency of the disk depends on the luminance contrast inside the disk and on the luminance ...
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Testing the model for testing competency.
Patient care management, 2003The pilot study to demonstrate the utility of the CBRDM in the practice setting was successful. Using a matrix evaluation tool based on the model's competencies, evaluators were able to observe specific performance behaviors of senior nursing students and new graduates at either the novice or competent levels.
Sarah B, Keating +3 more
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