Data Debugging with Continuous Testing

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Today, systems rely as heavily on data as on the software that manipulates those data. Errors in these systems are incredibly costly, annually resulting in multi-billion dollar losses, and, on multiple occasions, in death. While software debugging and testing have received heavy research attention, less effort has been devoted to data debugging: discovering system errors caused by well-formed but incorrect data. In this paper, the authors propose continuous data testing: using otherwise-idle CPU cycles to run test queries, in the background, as a user or database administrator modifies a database.
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