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Test Data Extraction and Comparison with Test Data Generation
2011
Testing an integrated information system that relies on data from multiple sources can be a challenge, particularly when the data is confidential. This thesis describes a novel test data extraction approach, called semantic-based test data extraction for integrated systems (iSTDE) that solves many of the problems associated with creating realistic test data for integrated information systems containing confidential data. iSTDE reads a consistent cross-section of data from the production
doi:10.26076/1caa-daf5
fatcat:jsbkvk3grnaglgvlkkayoi3jau