Publication | Closed Access
Reverse Query Processing
98
Citations
20
References
2007
Year
Unknown Venue
EngineeringTest Data GenerationSoftware EngineeringSemantic WebSoftware AnalysisInformation RetrievalData ScienceData MiningDatabase SystemDatabase ProcessingDatabase ApplicationManagementTest OracleData IntegrationData ManagementKnowledge DiscoveryComputer ScienceQuery AnalysisDatabase TheorySoftware DesignQuery OptimizationAutomated ReasoningProgram AnalysisSoftware TestingApproximate Query AnsweringReverse Query ProcessingDatabase ApplicationsData Modeling
Generating databases for testing database applications (e.g., OLAP or business objects) is a daunting task in practice. There are a number of commercial tools to automatically generate test databases. These tools take a database schema (table layouts plus integrity constraints) and table sizes as input in order to generate new tuples. However, the databases generated by these tools are not adequate for testing a database application. If an application query is executed against such a synthetic database, then the result of that application query is likely to be empty or contain weird results, such as a report on the performance of a sales person that contains negative sales. To solve this problem, this paper proposes a new technique called reverse query processing (RQP). RQP gets a query and a result as input and returns a possible database instance that could have produced that result for that query. RQP also has other applications; most notably, testing the performance of DBMS and debugging SQL queries.
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