A Parallel General-Purpose Synthetic Data Generator1

Joseph E. Hoag and Craig W. Thompson
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Joseph E. Hoag: University of Arkansas
Craig W. Thompson: University of Arkansas

Chapter 6 in Data Engineering, 2009, pp 103-117 from Springer

Abstract: Abstract The IT industry needs synthetic data generation tools for a number of applications including (but not limited to): Regression testing. Repeatedly generate the same large data set for testing enterprise applications. Allow the data set to be removed between regression tests.

Keywords: Generation Process; Synthetic Data; Mailing List; Field Element; Distribution Constraint (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-1-4419-0176-7_6

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