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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]

  3. Robust decision-making - Wikipedia

    en.wikipedia.org/wiki/Robust_decision-making

    Robust decision-making (RDM) is a particular set of methods and tools developed over the last decade, primarily by researchers associated with the RAND Corporation, designed to support decision-making and policy analysis under conditions of deep uncertainty.

  4. Robustness principle - Wikipedia

    en.wikipedia.org/wiki/Robustness_principle

    In computing, the robustness principle is a design guideline for software that states: "be conservative in what you do, be liberal in what you accept from others". It is often reworded as: "be conservative in what you send, be liberal in what you accept".

  5. Bench grinder - Wikipedia

    en.wikipedia.org/wiki/Bench_grinder

    The tool rest needs to be tight and within 2 to 3 mm of the wheel (1 ⁄ 16" to 1 ⁄ 8 "). This prevents the workpiece from slipping down between the wheel and the tool rest. The spark arrestors catch stray sparks. Grinding is usually done with the workpiece resting on the tool rest.

  6. 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 ...

  7. Robust optimization - Wikipedia

    en.wikipedia.org/wiki/Robust_optimization

    The origins of robust optimization date back to the establishment of modern decision theory in the 1950s and the use of worst case analysis and Wald's maximin model as a tool for the treatment of severe uncertainty. It became a discipline of its own in the 1970s with parallel developments in several scientific and technological fields.