Robustness (computer science): Difference between revisions

Revision as of 14:26, 9 December 2015

Revision as of 14:27, 9 December 2015

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{{mergeto|Fault-tolerant computer system|date=December 200142014}}

In [[computer science]], '''robustness''' is the ability of a computer system to cope with errors during execution. Robustness can also be defined as the ability of an algorithm to continue operating despite abnormalities in input, calculations, etc. Robustness can encompass many areas of computer science, such as [[Defensive programming|robust programming]], [[Overfitting|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 systems, and is a process of [[failure assessment]] analysis.<ref>http://www.stanford.edu/~bakerjw/Publications/Baker%20et%20al%20(2008)%20Robustness,%20Structural%20Safety.pdf</ref>