I recall that the model can cover a lot, but I’m not sure if it completely eliminates the need to design tests for the API. D feels a bit too simplified.
I'm not sure I agree that there would be no need for the execution layer. Even with a model, the tests still need to be run against the actual system, right?
I'm a bit confused on how model-based testing would impact the other layers of the TAA. I'll need to review my notes to make sure I understand the relationship.
Okay, I've got this. Increased online sales means more products being shipped to customers, which means a greater need for reverse logistics to handle returns and exchanges.
This one seems pretty straightforward. I'm going to carefully read through the options and think about what I know about drive failures and how they impact database operations.
I agree with Lourdes. Using Git tags is a common way to handle automated releases, and it aligns with the requirements in the question. As long as we have a clear tagging convention, this should work well.
Option C is interesting, but I think it's a bit of a stretch to say no adaptation will be needed. The model will define the interfaces, but the test automation architecture will still need to be designed to work with that.
Option C is interesting, but I think it's a bit of a stretch to say no adaptation will be needed. The model will define the interfaces, but the test automation architecture will still need to be designed to work with that.
I'm not sure about option B - if there's a model, there will still need to be an execution layer to actually run the tests, right? Skipping that layer doesn't sound right.
Option A seems like the logical choice here. Model-based testing means the test generation layer will be automated based on the defined model, while the other layers like execution and reporting will still be needed.
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