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 to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness. Various commercial products perform robustness testing of software analysis.^[3]

^ "A Model-Based Approach for Robustness Testing" (PDF). Dl.ifip.org. Retrieved 2016-11-13.
^ ^a ^b 1990. IEEE Standard Glossary of Software Engineering Terminology, IEEE Std 610.12-1990 defines robustness as "The degree to which a system or component can function correctly in the presence of invalid inputs or stressful environmental conditions"
^ Baker, Jack W.; Schubert, Matthias; Faber, Michael H. (2008). "On the assessment of robustness" (PDF). Structural Safety. 30 (3): 253–267. doi:10.1016/j.strusafe.2006.11.004. Retrieved 2016-11-13.

[1] "A Model-Based Approach for Robustness Testing" (PDF). Dl.ifip.org. Retrieved 2016-11-13.

[IEEE-2] 1990. IEEE Standard Glossary of Software Engineering Terminology, IEEE Std 610.12-1990 defines robustness as "The degree to which a system or component can function correctly in the presence of invalid inputs or stressful environmental conditions"

[3] Baker, Jack W.; Schubert, Matthias; Faber, Michael H. (2008). "On the assessment of robustness" (PDF). Structural Safety. 30 (3): 253–267. doi:10.1016/j.strusafe.2006.11.004. Retrieved 2016-11-13.

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