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Integrated Computational Materials Engineering is an approach to design products, the materials that comprise them, and their associated materials processing methods by linking materials models at multiple length scales. ICME thus naturally requires the combination of a variety of models and software tools.
The MDE approach is meant to increase productivity by maximizing compatibility between systems (via reuse of standardized models), simplifying the process of design (via models of recurring design patterns in the application domain), and promoting communication between individuals and teams working on the system (via a standardization of the terminology and the best practices used in the ...
Meta-process modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful to some predefined problems. Meta-process modeling supports the effort of creating flexible process models. The purpose of process models is to document and communicate processes ...
A model transformation, in model-driven engineering, is an automated way of modifying and creating platform-specific model from platform-independent ones. An example use of model transformation is ensuring that a family of models is consistent, in a precise sense which the software engineer can define. The aim of using a model transformation is ...
Manufacturing execution systems (MES) are computerized systems used in manufacturing to track and document the transformation of raw materials to finished goods. MES provides information that helps manufacturing decision-makers understand how current conditions on the plant floor can be optimized to improve production output. [1]
Materials informatics is a field of study that applies the principles of informatics and data science to materials science and engineering to improve the understanding, use, selection, development, and discovery of materials. The term "materials informatics" is frequently used interchangeably with "data science", "machine learning", and ...
For software engineering, several types of models (and their corresponding modeling activities) can be distinguished: Metadata modeling (MetaData model) Meta-process modeling (MetaProcess model) Executable meta-modeling (combining both of the above and much more, as in the general purpose tool Kermeta) Model transformation language (see below)
Sandbox (software development) Secure by design; Service design sprint; Software bill of materials; Software Engineering Process Group; Software map; Software supply chain; Spike (software development) Spiral model; Sprint (software development) Sunset (computing) Systems development life cycle
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