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Testing image processing applications is a non-trivial task. Complex inputs have to be generated and complex test results have to be evaluated. In the present paper, models for random generation of images are proposed and compared. The study for their comparison uses mutants of one particular implementation of an image processing operator, namely an implementation of the Euclidean distance transform...
Adaptive random testing (ART) subsumes a family of random testing techniques that are designed to be more effective than pure random testing. These methods spread test cases more evenly within the input domain than a uniform distribution does. In the present paper, it is investigated why standard ART methods are less effective for higher failure rates. Therefore, the spatial distribution of the test...
In the smart card quality assurance field, software testing is the privileged way of increasing the confidence level in the implementation correctness. When testing Java Card application programming interfaces (APIs), the tester has to deal with the classical oracle problem, i.e. to find a way to evaluate the correctness of the computed output. In this paper, we report on an experience in testing...
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