Why are fictitious data used in software testing? To simulate real-life usage of the product. To avoid testing the software with real data. To re...

Fictitious data is used in software testing for several reasons: 1. To simulate real-life usage of the product: Fictitious data allows testers to mimic different scenarios and user interactions that may occur in real-world situations. This helps ensure that the software performs as expected in various scenarios. 2. To avoid testing the software with real data: Using real data in testing can pose privacy and security risks, especially when dealing with sensitive information. Fictitious data eliminates these risks and allows for thorough testing without compromising user data. 3. To reduce the amount of testing required: Fictitious data can be generated in large quantities, allowing testers to cover a wide range of test cases without the need for extensive manual data entry. This helps streamline the testing process and saves time. 4. To speed up the testing process: Fictitious data can be generated quickly and easily, eliminating the need to gather or create real data for testing purposes. This helps accelerate the testing process and allows for faster feedback on the software's performance. 5. To make the testing process more accurate: Fictitious data can be designed to include specific edge cases, unusual scenarios, or rare data combinations that may be difficult to encounter in real-life situations. By including such data in testing, developers can ensure that the software handles these situations correctly and accurately. Overall, the use of fictitious data in software testing helps ensure thorough, efficient, and accurate testing while minimizing risks and saving time.