Translation:\n\nSoftware testing has become an important part of the software development process in today's world. Software testing is a process that ensures the correct functioning of software and meets the expectations of users. However, manually creating and implementing test scenarios is a time-consuming and costly process. Therefore, creating and implementing automated test scenarios with artificial intelligence support is a method used to make the software testing process more efficient.\n\nCreating and implementing automated test scenarios with artificial intelligence support is a method used to automate manual processes in the software testing process. This method automatically creates and implements test scenarios using artificial intelligence algorithms. As a result, the testing process becomes faster and more accurate.\n\nCreating and implementing automated test scenarios with artificial intelligence support provides many advantages in the software testing process. These include:\n\n1. Faster testing process: Artificial intelligence algorithms automatically create test scenarios, making the testing process faster. This shortens the time it takes for software to be released.\n\n2. More accurate results: Artificial intelligence algorithms create test scenarios more accurately, resulting in more accurate test results. This improves the quality of the software and meets the expectations of users.\n\n3. Lower cost: Creating and implementing automated test scenarios with artificial intelligence support is a less costly method due to the reduction of manual processes. This reduces the cost of the software development process.\n\nMethods used for creating and implementing automated test scenarios with artificial intelligence support include machine learning, natural language processing, and artificial neural networks. These methods include algorithms used to automatically create and implement test scenarios.\n\nMachine learning is a method that uses artificial intelligence algorithms. This method includes algorithms used to automatically create and implement test scenarios. Machine learning analyzes data used to create and implement test scenarios.\n\nNatural language processing is a method used to understand and process human language. This method includes algorithms used to automatically create and implement test scenarios. Natural language processing analyzes data used to create and implement test scenarios.\n\nArtificial neural networks are a method that works similarly to the principles of the human brain. This method includes algorithms used to automatically create and implement test scenarios. Artificial neural networks analyze data used to create and implement test scenarios.\n\nIn conclusion, creating and implementing automated test scenarios with artificial intelligence support is a method used to make the software testing process more efficient. This method makes the testing process faster, more accurate, and less costly. Methods such as machine learning, natural language processing, and artificial neural networks include algorithms used to automatically create and implement test scenarios.