Data-driven testing: Difference between revisions

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==Introduction==
In the testing of [[Computer software|software]] or [[Computer program|programs]], several methodologies are available for implementing this testing. Each of these methods co-exist because they differ in the effort required to create and subsequently maintain. The advantage of Data-driven testing is the ease to add additional inputs to the table when new partitions are discovered or added to the product or SUT. The cost aspect makes DDT cheap for automation but expensive for manual testing. One could confuse DDT with [[Table-driven testing]], which this article needs to separate more clearly in future.
 
==Methodology Overview==