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  2. Model-driven engineering - Wikipedia

    en.wikipedia.org/wiki/Model-driven_engineering

    The first tools to support MDE were the Computer-Aided Software Engineering tools developed in the 1980s. Companies like Integrated Development Environments (IDE – StP), Higher Order Software (now Hamilton Technologies, Inc., HTI), Cadre Technologies, Bachman Information Systems , and Logic Works (BP-Win and ER-Win) were pioneers in the field.

  3. Model-driven architecture - Wikipedia

    en.wikipedia.org/wiki/Model-driven_architecture

    Model-driven architecture (MDA) is a software design approach for the development of software systems. It provides a set of guidelines for the structuring of specifications, which are expressed as models. Model Driven Architecture is a kind of domain engineering, and supports model-driven engineering of software systems.

  4. Comparison of system dynamics software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_system...

    Distributed by Siemens. Modelica-models supported. Analytica: Proprietary, commercial, free limited version C++: 2018 Supports system dynamics, Monte Carlo simulation for uncertainty, array abstraction for handling multidimensional data, linear and non-linear optimization. Uses influence diagrams to define, navigate, and document models. AnyLogic

  5. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Models can be composed of different units (models at finer granularity) linked to achieving a specific goal; for this reason they can be also called modeling solutions. More generally, modeling and simulation is a key enabler for systems engineering activities as the system representation in a computer readable (and possibly executable) model ...

  6. Dimensional modeling - Wikipedia

    en.wikipedia.org/wiki/Dimensional_modeling

    Dimensional models are more denormalized and optimized for data querying, while normalized models seek to eliminate data redundancies and are optimized for transaction loading and updating. The predictable framework of a dimensional model allows the database to make strong assumptions about the data which may have a positive impact on performance.

  7. Systems modeling - Wikipedia

    en.wikipedia.org/wiki/Systems_modeling

    These models can be extended using functional decomposition, and can be linked to requirements models for further systems partition. Contrasting the functional modeling, another type of systems modeling is architectural modeling which uses the systems architecture to conceptually model the structure, behavior, and more views of a system.

  8. Metamodeling - Wikipedia

    en.wikipedia.org/wiki/Metamodeling

    In software engineering, the use of models is an alternative to more common code-based development techniques. A model always conforms to a unique metamodel. One of the currently most active branches of Model Driven Engineering is the approach named model-driven architecture proposed by OMG.

  9. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]