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  2. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader Model-driven engineering (MDE) concept.

  3. Systems modeling - Wikipedia

    en.wikipedia.org/wiki/Systems_modeling

    Business Process Modeling Notation Example. Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development. [2] A common type of systems modeling is function modeling, with specific techniques such as the Functional Flow Block Diagram and IDEF0.

  4. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.

  5. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. [1] [2]

  6. 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.

  7. Data-driven model - Wikipedia

    en.wikipedia.org/wiki/Data-driven_model

    Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

  8. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect

  9. Software and Systems Modeling - Wikipedia

    en.wikipedia.org/wiki/Software_and_Systems_Modeling

    Software and Systems Modeling (SoSyM) is a peer-reviewed scientific journal covering the development and application of software and systems modeling languages and techniques, including modeling foundations, semantics, analysis and synthesis techniques, model transformations, language definition and language engineering issues.

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