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The obtained relation between model and implementation enables a buffer capacity analysis on the model while assuring the throughput of the final implementation.
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Due to this reason, there are a huge gap between numerical model and implementation model when NFB counter is used.
Five metrics to measure framework invasiveness were proposed and applied to measure dependencies between model and framework code of several implementations of Thornthwaite and the Precipitation-Runoff Modeling System (PRMS), two well-known hydrological models.
Statistical model and implementation.
The benefits of a clear separation between the model and its implementation extend beyond Qualitative networks.
The objective of implementation is to bridge the gap between the specification model and available implementation technology.
The abstraction gap between the abstract model and its implementation may also hinder coverage results, as it happened with the TicTacToe model.
Data concretization can be difficult when there is a significant gap between the abstract model and the implementation, as was the case for the Lua API case study and for some modules of the b2llvm and C4B case study, such as the TicTacToe module.
The clear separation between the interaction model and the implementation is also helpful for assessing the validity of the Qualitative networks approach to modeling biological systems.
The model design and implementation goes from the conceptual model definition until the code implementation.
The authors insist particularly on the separation of concerns between scientific models and software implementation details, and propose a path of evolution for existing scientific software.
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