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Deep-learning is applied to play game in some projects, so it should make sense to apply it for UI test automation. Any comments on this idea?
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Machine Learning in automation testing produces data sets approximating personal profile images and information such as age and weight. The data depends on trained ML algorithms learned from current production datasets. These datasets are similar to production data and are appropriate for software testing.
In large software, it is really hard and time taking to test out all possible scenarios via traditional approach. So, building a machine learning model to do this is a neat idea. The end goal for such a system would be to crash to make the software unresponsive.
There is research being done on this idea. You should take a look at this research paper which explores Reinforcement Learning as an approach to automated GUI robustness testing. Reinforcement Learning is also one of the approaches used in teaching computers to play games.
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