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  2. Robustness (computer science) - Wikipedia

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

    In computer science, robustness is the ability of a computer system to cope with errors during execution [ 1 ][ 2 ] and cope with erroneous input. [ 2 ] 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 ...

  3. Robustification - Wikipedia

    en.wikipedia.org/wiki/Robustification

    Robustification. Robustification is a form of optimisation whereby a system is made less sensitive to the effects of random variability, or noise, that is present in that system's input variables and parameters. The process is typically associated with engineering systems, but the process can also be applied to a political policy, a business ...

  4. Robust statistics - Wikipedia

    en.wikipedia.org/wiki/Robust_statistics

    Robust statistics. Robust statistics are statistics that maintain their properties even if the underlying distributional assumptions are incorrect. Robust statistical methods have been developed for many common problems, such as estimating location, scale, and regression parameters. One motivation is to produce statistical methods that are not ...

  5. Robust decision-making - Wikipedia

    en.wikipedia.org/wiki/Robust_decision-making

    Robust decision-making. Robust decision-making (RDM) is an iterative decision analytics framework that aims to help identify potential robust strategies, characterize the vulnerabilities of such strategies, and evaluate the tradeoffs among them. [1][2][3] RDM focuses on informing decisions under conditions of what is called "deep uncertainty ...

  6. Robustness of complex networks - Wikipedia

    en.wikipedia.org/wiki/Robustness_of_complex_networks

    Robustness, the ability to withstand failures and perturbations, is a critical attribute of many complex systems including complex networks. The study of robustness in complex networks is important for many fields. In ecology, robustness is an important attribute of ecosystems, and can give insight into the reaction to disturbances such as the ...

  7. Robustness testing - Wikipedia

    en.wikipedia.org/wiki/Robustness_testing

    Robustness testing is any quality assurance methodology focused on testing the robustness of software. Robustness testing has also been used to describe the process of verifying the robustness (i.e. correctness) of test cases in a test process. ANSI and IEEE have defined robustness as the degree to which a system or component can function ...

  8. Stress testing (software) - Wikipedia

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

    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. Stress tests commonly put a greater emphasis on robustness ...

  9. Fault tolerance - Wikipedia

    en.wikipedia.org/wiki/Fault_tolerance

    Fault tolerance is the ability of a system to maintain proper operation despite failures or faults in one or more of its components. This capability is essential for high-availability, mission-critical, or even life-critical systems. Fault tolerance specifically refers to a system's capability to handle faults without any degradation or downtime.