The Challenge of Test Data Quality in Data Processing
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ACM JDIQ
Abstract
The need for robust test data sets with test oracles presents challenging questions in data and information quality research. The profound lack of high-quality test data sets to enable the dynamic testing of data processing components highlights open research challenges in data quality related to (1) sample data quality, (2) test data synthesis and (3) quality models.
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© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version is forthcoming and will be published in JDIQ in 2016.
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benchmarking, test data, data quality, test oracle, data processing, data formats, ground truth, digital curation, digital preservation, model-based testing, quality model
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