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Data-driven testing : ウィキペディア英語版
Data-driven testing
Data-driven testing'' (DDT) is a term used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. In the simplest form the tester supplies the inputs from a row in the table and expects the outputs which occur in the same row. The table typically contains values which correspond to boundary or partition input spaces. In the control methodology, test configuration is "read" from a database.
==Introduction==
In the testing of software or 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 System Under Test. The cost aspect makes DDT cheap for automation but expensive for manual testing.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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