Mutation-based software testing using program schemata
ACM-SE 30 Proceedings of the 30th annual Southeast regional conference
A genetic approach for random testing of database systems
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Efficient mutation testing by checking invariant violations
Proceedings of the eighteenth international symposium on Software testing and analysis
An Analysis and Survey of the Development of Mutation Testing
IEEE Transactions on Software Engineering
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Testing consumes significant human and machine resources, especially for large, complex systems such as database servers. While a variety of testing approaches have been proposed to improve the efficiency of the testing process, it is difficult to evaluate these approaches. Mutation testing has been proposed as a way to assess the adequacy of a test suite, assigning a score that can be used to compare testing approaches. While promising, serious obstacles appear to prevent mutation testing with large software systems. Recent advances in mutation testing have scaled to medium-sized programs of around 100,000 lines of code but to our knowledge there are no reported studies working with large systems with millions of lines of code and other features of database systems that complicate testing. In this paper we explore using mutation testing on a database server to evaluate its suitability for comparing test suites or testing approaches.