In the first part of this series, the focus was on the current challenges of test data management: functionally demanding requirements, distributed data landscapes, data privacy, organizational coordination, and the question of how XDM already supports these tasks today. XDM covers the path from modeling relevant data sources to selecting
The TOP5 ARGUMENTS why developing your own test data management solution is no longer profitable today. TDM has become a complex issue. For this reason, there are experts today who offer mature TDM solutions to the market
In the process of software development, tests need to be performed repeatedly. Depending on the stage of development, various test data, from individual test case data to bulk data, is required. There are three basic options for obtaining this test data: The manual creation of test data, the creation of synthetic test data and the conversion of productive data into test data
Best-Practice: Test data procurement in the context of continuous software development (PART 3/3). Before the new or modified applications go live, system, release, load or performance tests are applied. For this purpose, no fine-grained customized test case data is needed, but production-related data in larger quantities is required. These tests are
Best-Practice: Test data procurement in the context of continuous software development (PART 2/3). The further development of an application usually means that different features or even bug fixes need to be implemented. Ideally, each feature gets its own environment. This environment contains only the relevant data for that particular case.
Best-Practice: Test data procurement in the context of continuous software development (PART 1/3) Due to the massive increase in data-driven business models (from data-enhanced to
The UBS Hainer TDM Suite has a new tool: the Test Data Finder. This makes it even easier for testers and developers to quickly and individually compile
