Robustness (computer science): Difference between revisions

Revision as of 12:31, 13 November 2016

Revision as of 14:47, 20 March 2017

Line 1:

{{see also|Fault-tolerant computer system}}

In [[computer science]], '''robustness''' is the ability of a computer system to cope with errors during execution<ref>{{cite web|url=http://dl.ifip.org/db/conf/pts/testcom2005/FernandezMP05.pdf |title=A Model-Based Approach for Robustness Testing |website=Dl.ifip.org |format=PDF |date= |accessdate=2016-11-13}}</ref><ref name="IEEE">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"</ref> and cope with erroneous input.<ref name="IEEE"/> 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 assessmentsoftwarement]] analysis.<ref>{{cite web|url=http://www.stanford.edu/~bakerjw/Publications/Baker%20et%20al%20(2008)%20Robustness,%20Structural%20Safety.pdf |title=doi:10.1016/j.strusafe.2006.11.004 |website=Stanford.edu |format=PDF |date= |accessdate=2016-11-13}}</ref>

== Introduction ==