test-driven development

Because enterprise applications are highly interconnected, development in stages puts a strain on the implementation and execution of automated testing. Service virtualization can be introduced to validate work in progress while reducing the dependencies on components and third-party technologies still under development.

How much testing is really enough? Given resources, budget, and time, the goal of comprehensive testing seems impossible to achieve. It’s time to rethink your test strategy and start innovating.

To emulate production-like conditions that cannot be tested on the unit level, many integration and functional tests need a realistic environment. However, performing these tests in a production-like environment is fraught with problems—test data management issues, tests that are difficult to execute repeatedly, and network traffic that causes long-running test execution times. Instead of having to deal with these problems and others, Irene Dhong employs Docker to simulate dependencies. Learn how you can take advantage of Dockerized dependencies for quick test writing, reusability of common development code, and the ability to test early and often on a very low functional level. Irene describes how her development team is using Docker to implement more effective TDD and unit testing environments because Docker utilizes similar infrastructure both on the development and DevOps side. Join in to get Dockerized, too.

As IT systems increase in both scale and complexity, delivering quality applications becomes more challenging. In addition to creating and executing test scenarios, testers need to create and maintain the test data that enables test execution. Test data management (TDM) creates and...