
GenRocket Blog
Obtaining test data for functional testing usually involves copying and subsetting the production data values used by the software under test. Production data must be carefully masked to comply with…
A global financial services company follows an Agile development process to continuously update their core applications. They have established a continuous delivery pipeline for releasing new features into production and…
QA professionals know the importance of full test coverage for catching hidden software defects. The impact of undetected bugs that leak into production can range from inconsequential to nothing short…
In traditional Test Data Management (TDM), the test data lifecycle is based on the premise that some or all data used for testing is sourced from production. A full or…
Software release frequencies are continuously accelerating. The latest Capgemini/Sogeti Continuous Testing Report 2020 measured the release frequencies for 500 large enterprises in North America and Europe. The results, shown in…
As the technology leader in synthetic test data generation, GenRocket has created a new paradigm for Test Data Management (TDM) to meet the need for speed when testing in Agile…
Wikipedia defines dynamic data as information that changes asynchronously over time as new information becomes available. In financial services, the term is synonymous with transactional data, but the concept of dynamic data…
There is growing interest among quality assurance professionals in the use of synthetic data generation for software testing. Their interest in synthetic data is usually triggered by a requirement for…
Agile adoption is in full swing. According to the most recent State of Agile Report, it’s being adopted by 95% of organizations. That’s not to say it’s easy to accomplish…