Test Data Management - What's Innovative?This page shows up to 100 pieces of content which have been tagged Innovative (newest at the top): Mainframe programming and the modern developer Compuware is aiming to make mainframe development accessible to those of us more used to Docker and Selenium A quiet revolution Analytics and graphs are appearing in more and more software tools The mutable mainframe Despite appearances mainframes can be agile and can participate in DevOps and continuous delivery. Testing should not be a roadblock To keep up with the competition, companies need to get new applications and upgrades to market faster. Testing cannot be a roadblock on this path. Testing and impact analysis You need to understand how changes might impact on other parts of the system, because the former can break the latter. Traceability in testing In order to automate change you need the data, expected results and test scripts to automatically update, by virtue of their traceability back to requirements. Automating reusability By building up a library of reusable test assets functionality can be tested more rapidly by selecting components from this library Responsive automation So called "test automation frameworks" have to be able to respond to constant user demands. This process should be automated. Tackling the storage provisioning nightmare and business clamour to save costs Load DynamiX's appliance stress-tests large throughputs and infrastructures addressing the "what-ifs" Managing the data asset with Pentaho A look at the solution that Pentaho is putting in place to manage the data asset in a way that befits both the business and technology Delphix and the agile data platform Amongst other things (migrations, legacy modernisation, archival) Delphix provides test data management without needing to subset the data The requirements gap: Agile Designer Gird-Tools has announced the release of Agile Designer GenRocket GenRocket is a new vendor/product in the test data management space. After Grid-Tools it is the second (so far) vendor to offer synthetic test data generation. Accurate test data Traditional approaches to test data involve sampling (and then masking) from your existing data. However, there are advantages to generating the data from scratch.