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What is "Enough" Quality for Data Repositories?

Summary: [This abstract is based on the authors’ abstract.] While software companies can reduce the cost of project data collection and maintenance by reducing data quality, this may limit the ability to draw useful conclusions from the data. The authors seek a mechanism to determine at what point useful conclusions can still be drawn from the data. Analysis using a case-based data program called W found that some details about the test data could be discarded without reducing accuracy. In some cases, very coarse data could still produce accurate results.

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  • Topics: Data Quality, Information Management
  • Keywords: Data, Planning, Sofware
  • Author: Menzies, Tim; Brady, Adam; Kocaguneli, Ekrem
  • Journal: Software Quality Professional Magazine