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The concept of top-down stepwise refinement is covered and illustrated with a case study.
In the stepwise refinement approach, design details are gradually introduced into formal models.
Stepwise refinement allows each requirement to be introduced at the most appropriate stage in the development.
In this paper, we describe a model-driven and stepwise refinement methodological approach for streaming applications executed over clouds.
By stepwise refinement on multiple data, the method increases the accuracy of 3D models gradually and effectively.
In this paper, we propose a stepwise refinement method for 3D modeling with multi-source data integration.
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A systematic method of constructing hierarchical net models is described for their direct implementation such that the net is translated into the detailed net by stepwise refinements from the highest task specification level to the lowest machine control level.
The design process can benefit from a model-based and simulation-driven approach, where one starts from an abstract top-level model that is extended via stepwise refinements and design space exploration into a detailed and integrated systems model that can be physically realized.
This article introduces a new filter coordination which supports both stepwise query refinement and independent filters.
However, for large data sets there is a need for an alternative style of filtering that better supports stepwise query refinement.
This can prevent writing formal specifications close to the actual implementation, and can thus hamper a refinement-based stepwise development.
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