On another hand, many practitioners believe that higher level (domain specific) tools and languages are essential for improving developer's productivity.
In the applications of Natural Language Processing, many systems allow the users use one or more domain specific lexicons.
In addition, many ontologies are domain specific in fields such as technology, environmental science, chemistry and linguistics.
As we look to Design, Generate, Identify and Resolve - we use simplification, abstraction, automation, domain specificity, integration, and best practices.
Just like in the case of UML explained above, this approach forces you to shoehorn clear domain specific concepts into prebuilt abstractions.
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