Evaluating Testing Strategies for Imaging Software by Means of Mutation Analysis

The oracle problem is a crucial part in current research on software testing. In many situations available solutions like partial oracles can be used, however the suitability of a specific oracle depends on the application to be tested. Moreover, the inputs have a considerable impact on the effectiveness of the testing strategy. Therefore selecting an appropriate oracle as well as adequate inputs is essential in order to yield satisfying results. In the present paper an approach is described that uses mutation analysis to assess testing strategies, which implies the determination of suitable inputs and the evaluation of partial oracles. The approach is illustrated using metamorphic relations as partial oracles for imaging software.