Data-driven testing: Difference between revisions

Revision as of 14:54, 28 July 2009

Revision as of 19:19, 17 August 2009

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{{Portal|Software Testing}}

Data-driven testing is a term used in the testing of [[software]]. The idea is to lower maintenance and improve coverage by using re-usable test logic. When you first author any test, it has all sorts of hard cordingcoding of environment, end points, test data, locations, etc. Everything that has a potential to change (also called "Variability") must be separated from the test logic and moved into an external asset, which can be a configuration or test data. You can then add more data or change the configuration to reuse the same test logic and run through multiple data scenarios.

==Introduction==