A team of software testers is attempting to create an AI algorithm to assist in...

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A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required, thus reducing the time needed for each testing cycle.

How can an AI-based tool be expected to assist in this reduction?

By using a clustering method to quantify the relationships between test cases and then assigning each test case to a category

By performing optimization of the data from past iterations to see where the most common defects occurred and select the corresponding test cases

By performing Bayesian analysis to estimate the types of human interactions that are expected to be seen in the system and then selecting those test cases

By using A/B testing to compare the last update with the newest change and compare metrics between the two

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A team of software testers is attempting to create an AI algorithm to assist in...

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