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The user-level programs are better documented, more straightforward to use, and written in the Python scripting language, so advanced users can modify the programs' behavior without any recompilation.
Experience has shown that understanding a computational protocol is based both on inspection of the source code and on experimentation, i.e. observation of the programs' behavior for various input data.
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We propose a method of estimating the program behavior impact via a regression model.
Understanding and characterizing program behavior is of vital importance to such systems.
We observe that the program behavior impact of different characteristics varies significantly.
This is a very concise summary of the EPAM goals, program, behavior.
Yet they also look as if he produced them effortlessly, as if drawing for him were a kind of natural, genetically programmed behavior.
Context-oriented programming (COP) provides dedicated support for defining and composing variations to a basic program behavior.
Optimal or near-optimal compile-time decisions require deterministic, data-independent program behavior known to the compiler.
We present a dynamically reconfigurable multiCore architecture that detects program phase change at runtime and adapts to the changing program behavior by reconfiguring itself.
These tools need formal specifications of correct program behavior, but writing a correct specification is difficult, just as writing a correct program is difficult.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com