The Challenge of Test Data Quality in Data Processing. Becker, C., Duretec, K., & Rauber, A. ACM Journal of Data and Information Quality (JDIQ), 2017.
Paper abstract bibtex 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.
@article{becker_challenge_2017,
title = {The {Challenge} of {Test} {Data} {Quality} in {Data} {Processing}},
volume = {8},
copyright = {An error occurred on the license name.},
url = {https://tspace.library.utoronto.ca/handle/1807/73999},
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.},
language = {en\_ca},
number = {2},
urldate = {2016-11-17},
journal = {ACM Journal of Data and Information Quality (JDIQ)},
author = {Becker, Christoph and Duretec, Kresimir and Rauber, Andreas},
year = {2017}
}
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