Combinatorial Testing (CT) is a fundamental approach for testing varying applications ranging from mobile applications to autonomous driving. Input modeling is a prerequisite to CT. When the input domain is continuous, abstraction is necessary to generate a CT test suite. In this study, we discuss three novel, work-in-progress research avenues. With these avenues, we aim to maximize the fault detection capability of CT test suites through continuous domain input abstraction optimization. We motivate our research on abstraction by demonstrating how it affects the fault detection capability of CT test suites on three audio plugin implementations. Overall, continuous domain input abstraction optimization remains a promising open challenge.

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