Using ChatGPT for mobile app test automation presents several significant challenges primarily due to its lack of visual context understanding. ChatGPT cannot "see" the UI elements, their states, or their spatial relationships, making it difficult to accurately identify and interact with dynamic or context-dependent components like buttons or text fields. Generating robust test scripts for complex user flows involving multiple screens, conditional logic, and specific data inputs requires a level of application state awareness that language models currently lack. Furthermore, integrating ChatGPT's generated code, often in frameworks like Appium or Espresso, into existing test execution pipelines and debugging potential failures requires substantial human oversight and refinement, as the output may contain inaccuracies or inefficiencies. Maintaining these AI-generated tests as the mobile application evolves can also be cumbersome, as changes in UI or functionality often necessitate re-evaluation and manual adjustments to the automated scripts. Ultimately, while ChatGPT can assist in generating test ideas or boilerplate code, achieving fully autonomous and reliable end-to-end testing without human intervention remains a considerable hurdle. More details: https://auth.servizilocalispa.it/AuthenticationManager/Account/Login?ClientId=smartanpr_portal&ReturnUrl=https%3A%2F%2Fabcname.com.ua