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[[System Under Test]]. 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==