{"id":12080,"date":"2018-01-16T18:27:02","date_gmt":"2018-01-16T12:57:02","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=12080"},"modified":"2022-07-27T19:00:41","modified_gmt":"2022-07-27T13:30:41","slug":"4-test-data-management-techniques-empower-software-testing","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/4-test-data-management-techniques-empower-software-testing\/","title":{"rendered":"4 Test Data Management Techniques That Empower Software Testing"},"content":{"rendered":"

Online gaming applications get launched with variations and modifications to attract gaming enthusiasts. Every gaming application or any software launch is backed by rigorous software testing and quality assurance. However, when versions are checked it is highly critical for teams to look at the earlier testing data and make amends or upgrades on the basis of that test data. Test Data Management (TDM) is highly critical during the testing lifecycle when the required data sets are needed for assessing the application under test (AUT).<\/p>\n

The quantum of data generated while testing an application is massive, hence, TDM helps to minimize the time spent for processing the data and generate reports that add value to the overall application\/software. It also enables integrated sensitive data discovery, business classification, and policy-driven data masking for de-identification and effective implementation of production data within the development ecosystem.<\/p>\n

TDM is not only deployed on premises, but can also be implemented on the Cloud, or via any hybrid cloud configurations. Some of the key aspects of TDM<\/a> are identifying common test data elements, masking and archiving test data, prioritizing and allocating test data, generating reports and dashboards, establishing business rules, developing automation suite for master data preparation, and eventually creating versions of old data.<\/p>\n

Some enterprises are even setting up centralized test data management teams to effectively procure test data in time and cater to the needs of the developers and testers. This way, they would streamline the overall test data process by acquiring, securing and facilitating the test data for ensuring speed and quality of the application.<\/p>\n

Let us have a look at four key TDM techniques that empower software testing.<\/p>\n