data-driven - definição. O que é data-driven. Significado, conceito
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O que (quem) é data-driven - definição


Data-driven         
The adjective data-driven means that progress in an activity is compelled by data, rather than by intuition or by personal experience.
Data-driven testing         
SOFTWARE TESTING METHODOLOGY THAT IS USED IN THE TESTING OF COMPUTER SOFTWARE TO DESCRIBE TESTING DONE USING A TABLE OF CONDITIONS DIRECTLY AS TEST INPUTS AND VERIFIABLE OUTPUTS
Data-Driven Testing; Parameterized test; Parameterized testing
Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing methodology that is 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.
Data-driven programming         
PROGRAMMING PARADIGM
Applications of data-driven programming
In computer programming, data-driven programming is a programming paradigm in which the program statements describe the data to be matched and the processing required rather than defining a sequence of steps to be taken. Standard examples of data-driven languages are the text-processing languages sed and AWK, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.
Exemplos do corpo de texto para data-driven
1. "It‘s possible to shift to a more data–driven approach of environmental protection," said Daniel C.
2. "Our economy is increasingly data–driven," she told the American Constitution Society for Law and Policy convention in June.
3. He said he hopes the rise of data–driven decision–making in education will continue when a new administration begins.
4. Some researchers argue that better methods of calculation indicate a much smaller racial gap nationwide.) Goals and data–driven decisions make a difference Baltimore County is particularly effective because it has "goals, master plans, and data–driven decisionmaking," all with an eye toward equitable outcomes, says educational research consultant Michael Holzman, author of the Schott reports.
5. The central bank, however, was a little more hawkish on future policy than most Fed watchers had forecast, saying the next decision would be data driven.