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One approach being extensively investigated and used is Model Based Testing.
To ensure the reliability of this kind of system, the industry has been investing in an approach known as model based testing [8].
Finally, although there are several studies in this area, we believe that much can still be developed to contribute to the advancement of the state of the art and the state of the practice in the context of model based testing for embedded systems.
It deals with people and training issues and discusses how model based testing can fit into agile development processes and the Unified Modeling Language (UML) unified process.
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The article discusses problems of model based test construction and ways of their solution using different kinds of models (operational, contract, axiomatic, and history-based specifications).
Model based test derivation is now widely used for deriving functional tests for various systems including communication protocols and other reactive systems.
To raise the power of genome-wide association studies (GWAS) and avoid false-positive results in structured populations, one can rely on mixed model based tests.
They use an augmented model to maintain the randomisation balance between groups which corresponds to the Cox model based test statistic in the semi-parametric approach of Robins & Tsiatis.
To compare the amplitude of the mean network timecourses across groups in the individual frequency bands General Linear Model (GLM) based test was used.
Structural analysis is a standard tool to identify submodels that can be used to design model based diagnostic tests.
A modified analytical model based on test result calibration for the calculation of sectional properties is proposed for design reference.
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