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  2. Robustness testing - Wikipedia

    en.wikipedia.org/wiki/Robustness_testing

    Fault injection is a testing method that can be used for checking the robustness of systems. During the process, testing engineers inject faults into systems and observe the system's resiliency. [4] Test engineers can develop efficient methods which aid fault injection to find critical faults in the system. [5] [6]

  3. Robustness (computer science) - Wikipedia

    en.wikipedia.org/wiki/Robustness_(computer_science)

    Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness ...

  4. Robust statistics - Wikipedia

    en.wikipedia.org/wiki/Robust_statistics

    Robust statistical methods, of which the trimmed mean is a simple example, seek to outperform classical statistical methods in the presence of outliers, or, more generally, when underlying parametric assumptions are not quite correct.

  5. Robust regression - Wikipedia

    en.wikipedia.org/wiki/Robust_regression

    The method proceeds by finding a highly robust and resistant S-estimate that minimizes an M-estimate of the scale of the residuals (the first M in the method's name). The estimated scale is then held constant whilst a close by M-estimate of the parameters is located (the second M).

  6. Robustness validation - Wikipedia

    en.wikipedia.org/wiki/Robustness_validation

    In contrast, Robustness Validation is a process that includes the entire product development process, as well as mass production. The qualification of the components based on the robustness analysis is thus implicit. With the introduction of robustness validation, priorities are focused on the development process again.

  7. Efficiency (statistics) - Wikipedia

    en.wikipedia.org/wiki/Efficiency_(statistics)

    In robust statistics, more importance is placed on robustness and applicability to a wide variety of distributions, rather than efficiency on a single distribution. M-estimators are a general class of estimators motivated by these concerns. They can be designed to yield both robustness and high relative efficiency, though possibly lower ...

  8. Stress testing (software) - Wikipedia

    en.wikipedia.org/wiki/Stress_testing_(software)

    Stress testing is a software testing activity that determines the robustness of software by testing beyond the limits of normal operation. Stress testing is particularly important for " mission critical " software, but is used for all types of software.

  9. Test method - Wikipedia

    en.wikipedia.org/wiki/Test_method

    A test method is a method for a test in science or engineering, such as a physical test, chemical test, or statistical test. ... robustness, or the insensitivity to ...