Synthetic test Data is a component of the Custom Software Development (CSD) process. The process includes several steps including analysis, modification, packaging and maintenance. It is a data conversion package that helps in managing test data in an efficient manner. The main advantage of this software is that it can be run on Windows or MacOS without any difficulty.
Synthetic test data offers various options to the user. It provides test plans, sets up scenarios, controls and allows the user to specify the test cases to be run for specific types of tests. It even detects and modifies any possible problems in the test cases. In addition, synthetic test data also allows the user to save all the required test data in various formats.
One of the advantages offered by synthetic test data is that it enables easy modification and extension of the test cases to suit the needs of the user. For instance, the user can easily add test data for performance testing along with some customizations to check the type of inputs. The user can easily modify and add new test cases as well. The package comes with full support for VSTd and Win32 API.
Synthetic test data makes it easier for the developers to write generic or domain-specific automated testing methods. They can test for the expected outcomes and provide feedback to the tester. This way they can make their tasks easier and faster. The ability to define test cases with parameters enables better separation of responsibilities. As the tester does not need to analyze the actual test cases, he can concentrate on writing the automated code.
However, synthetic test data simplifies the task of testing by enabling one to generate accurate results from a series of test cases. It allows a developer to quickly evaluate and validate the performance of the software application or web service. As such, synthetic test data is a great help for programmers as well as testers to obtain useful results quickly.
By utilizing the generated test cases, one can easily extract the parameters used in the testing process and use it for further analysis and testing. This means that one need not create or save test cases in order to run the tests. Synthetic data also enables one to easily customize the test data so that it fits the specifications of the user and the test environment. In other words, it becomes easier to create and adjust to the test requirements. Moreover, with synthetic data, a developer can also derive demographic profiles of the users which are otherwise very time consuming and labor intensive.
A good instance of the benefits of synthetic test data is found with the usage of the programmable interface. This means that one can easily add, remove and edit the input data without having to create or save test cases in advance. Another great advantage of using this feature is that the user can easily change parameters without restarting the testing process. For example, if the user needs to verify user inputs in order to verify the usability of a given piece of software, he/she can simply enter a parameter and let the program do the rest!
The best part of synthetic data is that it can be adjusted and modified at will. This means that the user gets to choose how much data he/she would like to have run his/her tests. Also, he/she does not have to spend a lot of time in modifying the data in order to fit his/her requirements. With synthetic data, a user can run his/her tests whenever he/she wants to and can modify the input data whenever necessary as well. With synthetic data, a tester can focus on more critical areas that are less susceptible to failure without having to worry about the results of other testing steps.
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