Domain Model Language

It involves systematic use of a domain specific language to represent the various facets of a system.

Domain model language. Derived from an understanding of system level requirements identifying domain entities and their relationships provides an effective basis for understanding and helps practitioners design systems for maintainability testability and incremental development. It should not refer to any technical implementations such as databases or software components that are being designed. Pretraining works by masking some words from text and training a language model to predict them from the rest.

Pretrained neural language models are the underpinning of state of the art nlp methods. A new paradigm for building neural language models in biomedicine and specialized domains. A domain model leverages natural language of the domain.

Domain specific modeling is a software engineering methodology for designing and developing systems such as computer software. A domain model generally uses the vocabulary of the domain thus allowing a representation of the model to be communicated to non technical stakeholders. Marte is a domain specific modeling language intended for model based design and analysis of real time and embedded software of cyber physical systems.