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  2. Spec Explorer - Wikipedia

    en.wikipedia.org/wiki/Spec_Explorer

    Spec Explorer [1] is a Model-Based Testing (MBT [2] [3]) tool from Microsoft.It extends the Visual Studio Integrated Development Environment with the ability to define a model describing the expected behavior of a software system.

  3. 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]

  4. Model-based testing - Wikipedia

    en.wikipedia.org/wiki/Model-based_testing

    Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.

  5. Shift-left testing - Wikipedia

    en.wikipedia.org/wiki/Shift-left_testing

    Model-based testing moves testing to the left side of the Vs, by testing requirements, architecture, and design models. This shift begins testing almost immediately, instead of waiting a long time (traditional testing), medium time (incremental testing), or short time (Agile/DevOps) for software to become available to the right side of the Vs.

  6. Fuzzing - Wikipedia

    en.wikipedia.org/wiki/Fuzzing

    Automated seed selection (or test suite reduction) allows users to pick the best seeds in order to maximize the total number of bugs found during a fuzz campaign. [30] A generation-based fuzzer generates inputs from scratch. For instance, a smart generation-based fuzzer [31] takes the input model that was provided by the user to generate new ...

  7. LightGBM - Wikipedia

    en.wikipedia.org/wiki/LightGBM

    LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4] [5] It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus is on performance and ...

  8. Model-driven engineering - Wikipedia

    en.wikipedia.org/wiki/Model-driven_engineering

    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 ...

  9. Model-based design - Wikipedia

    en.wikipedia.org/wiki/Model-based_design

    Model-based design (MBD) is a mathematical and visual method of addressing problems associated with designing complex control, [1] signal processing [2] and communication systems. It is used in many motion control , industrial equipment, aerospace , and automotive applications.