Model Based Testing (MBT) as an alternate to traditional test case-based testing for speech recognition functional validation.

Paper #:
  • 2017-01-1680

Published:
  • 2017-03-28
Abstract:
Testing the Voice User Interface (VUI) for the SYNC infotainment system is a complex task, with hundreds of states and thousands of possible transitions to verify. Historically, manual and automated testing have been the standard for performing this type of validation. Manual testing is laborious, slow, and is dependent on a human to scour the specification and create the test cases from which to run the validation. Automating this process so that the test cases are performed without human intervention is quicker, but the process still requires human input for the test case creation. In either case, the process suffers from highly variable quality and test coverage due to the lack of human understanding of the system behavior and states in order to derive the test cases. Large Systems Under Test (SUT) that require maintaining test cases that are susceptible to change due to changing requirements add complexity to the process. Model Based Testing (MBT) reduces the complexity and the need for manual human input by shifting the role of the tester from writing and executing test cases to a more engineering-minded role of modeling and capturing the behavior of a SUT. Once a system has been successfully modeled, test cases that capture all potential paths from one state to the next are automatically generated. If the specification changes, only the model needs to be updated to meet the new requirements. This approach has yielded a more accurate test procedure that is more flexible to specification updates and require less time to create and execute.
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