Privacy Preserving Database Generation for Database Application Testing
Source: University of North Carolina
Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively few efforts have been made to explicitly address the testing of database applications which requires a large amount of representative data available. As testing over live production databases is often infeasible in many situations due to the high risks of disclosure of confidential information or incorrect updating of real data, this paper investigates the problem of generating synthetic databases based on a-priori knowledge about production databases.