While AI mobile testing offers numerous benefits, it’s not without its challenges. One of the main hurdles is ensuring that the AI models used for testing are trained with relevant data. Without a robust dataset, AI models may not accurately identify issues, leading to false positives or missed defects. Additionally, implementing AI testing tools can require significant upfront investment in terms of time and resources. https://testomat.io/blog/ai-mo....bile-testing-how-to-
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