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  2. List of model checking tools - Wikipedia

    en.wikipedia.org/wiki/List_of_model_checking_tools

    Promela: Process or Protocol Meta Language; it is a verification modeling language. The language allows for the dynamic creation of concurrent processes to model, for example, distributed systems. Starlark: Starlark is a dialect of Python created by Google for Bazel. Model checkers like FizzBee uses Starlark/Python as the modeling language.

  3. Model checking - Wikipedia

    en.wikipedia.org/wiki/Model_checking

    The implementation or design is regarded as a model of the system, whereas the specifications are properties that the model must satisfy. [2] An important class of model-checking methods has been developed for checking models of hardware and software designs where the specification is given by a temporal logic formula.

  4. 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

  5. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    Dataflow programming – forced recalculation of formulas when data values change (e.g. spreadsheets) Declarative programming – describes what computation should perform, without specifying detailed state changes c.f. imperative programming (functional and logic programming are major subgroups of declarative programming)

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. List of programming languages by type - Wikipedia

    en.wikipedia.org/wiki/List_of_programming...

    Data-oriented languages provide powerful ways of searching and manipulating the relations that have been described as entity relationship tables which map one set of things into other sets. [citation needed] Examples of data-oriented languages include:

  8. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    De facto standard for matrix/tensor operations in Python. Pandas, a library for data manipulation and analysis. SageMath is a large mathematical software application which integrates the work of nearly 100 free software projects and supports linear algebra, combinatorics, numerical mathematics, calculus, and more. [17]

  9. Microsoft Power Platform - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_Platform

    Microsoft Dataverse, formerly known as Microsoft Common Data Service until November 2020, is a relational database engine [8] offered by Microsoft as a cloud-based data management software as a service for storing business data. Dataverse is a data storage and management engine serving as a foundation for Microsoft’s Power Platform, Office ...