Synthetic test Data is an online database management system that supports the integration of customer and vendor validated data. It can be used for initial testing, validation and retesting, as well as for managing test cases. The main benefits of using Synthetic test Data are easy creation, easy administration and quick recovery. Synthetic test data offers the following features:
It is a software application that automatically creates a business requirement database from your selected test cases and passes the data through a validation process. Validation ensures that the data passed through the software matches what is expected. Once this step is complete, all further operations can be initiated. Synthetictestdata is compatible with Microsoft, Java, Linux and other platforms.
SynthetictestData provides two ways to manage test data. In one method, you can update the data from the program. The second way is to retain the previous data set in the database and refer to it later. In case of updates, the data is automatically added to the existing test data. This saves you time and improves the quality of the system.
Syntheticdata software offers flexibility to manage database requirements. You can easily create an entire test case in a few clicks. Moreover, the software allows easy application of logical functions to the database. The software generates the test cases with unique application name and code.
Syntheticdata also helps in managing test conditions. For example, you can set the test condition for the database to match the real time data. Another advantage is that Syntheticdata supports various transaction control systems. For example, you can create transactions with transaction log, checksum or changeset. Furthermore, Syntheticdata can connect to a data source through different interfaces.
Synthetictestdata offers various tools for data validation. It includes column relevance analysis, ranking algorithms, and ranking statistics. The software reports the accurate results. Also, it provides reports for different types of tests including web, server, and performance test. It can generate code for database queries and pattern recognition programs.
Syntheticdata is a fast and convenient way to run a series of tests and make sure that the final test conforms to the specifications of the client. The software has an interface for easy configuration and use. The interface is user-friendly and can be customized as per individual business requirements. Syntheticdata is very flexible and has a number of options for user testing. Besides, it comes with a trial version.
It is always important to choose the right test automation software that meets all your needs. Therefore, do not consider a good Synthetic Test Data provider blindly. Evaluate the solutions that have a good track record and good technical support. If possible, try to go for those vendors who offer trial versions of their software so that you can get the feel of running the system in a day or two.
Synthetic Data is a great solution for a wide range of tests because it makes the work of testers much easier and faster. However, in some cases, Synthetic Data may introduce unexpected errors in the test data. To overcome this problem, you can create test cases in advance and then run them only during the test launch. In addition to that, you can increase the test cases after you understand the results from the actual test case. This will ensure that the Synthetic data produces better results.
Synthetic data should be designed in such a way that clients do not feel cheated when they receive their results. They should receive results that are closest to what they expect to find in the test data. This is why you should focus on providing customers with the most accurate test data and results.
A good Synthetic Data provider should also provide clients with resources and guides that help them conduct more detailed checks on the test cases they have already created. These resources and guides provide information that clients need to conduct more detailed checks. For example, some clients may notice that there is a high percentage of false positive results in the Synthetic Data set. If these clients follow these guides, they can reduce the number of false positive results and improve the accuracy of their Synthetic Data Set.
Clients should make it easy for their testing team. They should also make it easy for the testing manager to provide the Synthetic Data Sets to the client for further analysis. A good Synthetic Data provider should understand that different clients have different needs. Therefore, they should be able to customize the Data Set to meet the needs of each client. Synthetic Testing Data should provide results that are precise, reliable and provide insight that clients need to improve the quality of their testing.
About The Author
