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Primary output variables from industrial processes can be estimated from known input variables and secondary process measurements. As a basis for this, the dynamic predictor has to be identified from data collected during a calibration experiment. In this paper, the theoretical basis for this is investigated, and a systematic experimental method is proposed.
Calculating differences between models is an important and challenging task in Model Driven Engineering. Model differencing involves a number of steps starting with identifying matching model elements, calculating and representing their differences, and finally visualizing them in an appropriate way. In this paper, we provide an overview of the fundamental steps involved in the model differencing...
Pervasive computing infrastructure makes it possible for mobile users to run software services on extremely heterogeneous and resource-constrained mobile devices. Heterogeneity and device limitedness creates serious problems for the development and deployment of mobile services that are able to run properly on the execution context and are able to ensures that users experience the ldquobestrdquo Quality...
Software development is witnessing the increasing need of version management techniques for supporting the evolution of model-based artefacts. In this respect, metamodels can be considered one of the basic concepts of model-driven engineering and are expected to evolve during their life-cycle. As a consequence, models conforming to changed metamodels have to be updated for preserving their well-formedness...
Increasingly, UML metamodels and profiles are adopted to specify software architectures from different angles in order to cope with analysis specific modeling needs. In particular, whenever two or more analysis techniques are required over the same architectural model, different modeling tools and notations are required, and feedback from one model to the other is not propagated since integration...
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