GenRocket’s Innovative Paradigm for Test Data Automation Today's interconnected software systems pose challenges for development and testing teams when it comes to generating precise, scalable, and diverse test data for every phase of the software development lifecycle. Traditional Test Data Management
In the fast-paced world of financial technology, where data security is paramount and the pressure to innovate is relentless, one global financial services leader found themselves at a crossroads. This case study explores how GenRocket’s Test Data Automation (TDA) platform
In the realm of software quality assurance and engineering, there exists a wide array of testing categories, each tailored to ensure different aspects of system functionality, performance, and compliance. These range from unit testing, which examines individual components, to complex
In our modern, data-centric world, organizations encounter numerous challenges when testing critical financial systems and applications. Managing vast amounts of data for testing these applications while ensuring data privacy, consistency and integrity can appear daunting. However, with the right tools
GenRocket offers 100% secure synthetic test data for healthcare claims processing system that improves accuracy and accelerates test cycle time Overview A healthcare IT company operates as a clearinghouse that processes billions of dollars of insurance payments for a large and diverse
Choose Your Starting Point: 5 Ways to Utilize Synthetic Test Data with GenRocket Dev & test is under constant pressure to quickly develop and test new code. They’re accustomed to using production data copies as a solution for their test data
The meaningful use of electronic health records (EHR) has been at the forefront of the healthcare IT conversation since the 2014 American Recovery and Reinvestment Act. As of 2019, the CDC reports that 89.9% of healthcare practices such as physicians’ offices are actively using at least some or all of an EHR management system.
The strategy of Shifting left means performing software testing earlier in the SDLC so that defects can be detected when they are faster and easier to correct. Software bugs that escape to production can cost 100 times more to resolve than early in the product lifecycle.
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 clean room where it is examined for personally identifiable information (PII) and masked or anonymized before being transferred to a non-production environment for testing.
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 new build on a daily or weekly basis. Another 26% deploy code hourly, while some even deploy several times per hour.
