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Synthetic data generation is one of the fastest growing trends in the testing industry. It can help you save time and money by automating test data creation. Unlike production cloning, synthetic test data is created in-sync with the system being tested. This makes it much more accurate than manual methods and requires less domain knowledge... Continue Reading →
Test data generation is a crucial step in the software testing process. Without it, testing will be difficult and will lead to quality issues. Test data can be generated manually, with automated testing tools, or through production data. In any case, the data set should be realistic and valid. GDPR Test Data Using raw production... Continue Reading →
As the demand for test automation rises, so does the need for real time test data? The data bottleneck is a common problem and one that prevents automated testing from progressing. Realistic test data requires a high level of quality and can be difficult to obtain or require expensive infrastructure. GenRocket addresses these challenges by... Continue Reading →
When testing new software functionality, it is important to have access to high-quality test data. This can be challenging due to large data volumes or different sources of data with varying permissions. A centralized repository of all test data will reduce testing inefficiencies and storage costs. It will also allow developers and testers to easily... Continue Reading →
Synthetic test data is a modern variation of the traditional Test Data Management (TDM) paradigm. It reduces provisioning time by eliminating the need to copy, subset, mask, and refresh production data before testing. QA teams need to consider several factors to determine whether synthetic test data is the best approach for their software testing environments.... Continue Reading →
As a company, you need to ensure that your test data management is GDPR compliant. If not, you might incur eye-watering fines as a result. GDPR requires separation of production and test systems. This means that real personal data should never be used in the test environment. If this is unavoidable, data masking techniques could... Continue Reading →
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