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Developers can aid compiler optimization in situations where the compiler is restricted in terms of making assumptions about the code, how the code is laid out in memory, and when the developer has prior knowledge about the run-time behavior of the code.
They presented however a common characteristic: there is no information of any expected behavior of the code when an operation's precondition is not respected.
These systems visualize the way objects of program code and the algorithm are processed (i.e., the target domain world) and reproduce the behavior of the code and the algorithm.
Refactoring is the process of changing a software system in such a way that it does not alter the external behavior of the code yet improves its internal structure (Fowler 1999).
To conclude, specifying structural code-coverage criteria at the model-level that are both, sufficient and necessary, is not possible without knowledge about the behavior of the code generator.
Without the knowledge about the behavior of the code generator it is not possible to formulate a preservation criterion for decision coverage (DC) or MCDC coverage that is both, sufficient and necessary independently of the exploited implementation variant.
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We provide examples of how to use this program, and illustrate behavior of both the code generator and the generated solver module(s).
In traditional education for programming in the code-reading stage, the teacher explains the functions and the behavior of the sample code in the textbooks.
The approach ensures the behavior preservation of the code and the applicability of the refactoring suggestions based on the examination of a set of preconditions.
Table 2 shows the scaling behavior of the reconstruction code, run with a resolution of (8192 times 8192).
Examples illustrating the behavior of the min max codes are provided for different case studies.
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