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 they are leveraging test automation tools to accelerate the cycle
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 of catastrophic. A recent Internet outage provides a real-world example
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 subsetted copy of a production database is transferred to a
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 the graphic below, indicate 61% of organizations are deploying a
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 and DevOps environments. Traditional TDM requires modernization. Copying, masking and
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 is not unique to financial transactions. Dynamic data can result
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 data privacy or the need for accelerated data provisioning 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 an Agile transformation. In fact, 77% of organizations are still
Part 3 in the series: Moving from Test Automation to Intelligent Automation In part 2 of this series, Data Modeling and Referential Integrity, we explored GenRocket’s ability to reproduce the structure of any database, file format or data interface standard by importing a
Part 2 in the series: Moving from Test Automation to Intelligent Automation In part 1 of this series, we introduced the concept of Intelligent Data Provisioning - the ability to design and generate test data on-demand using a flexible self-service framework.