When moving toward automation, establishing trust in the automation test suite is important to unite the team as a whole. Once trust is established in the process and the tests, it becomes crucial to the overall software development lifecycle.
Organizations are moving to DevOps to build and deploy software more rapidly. But as they break down organizational silos to bring together testing, development, and operations, they often avoid or exclude security in their transformational efforts.
A best practice of software architecture is to design your applications into independent modules or components, with a published contract for interaction between components. This is a principle of the microservices style of architecture, but it also applies to components created in a large monolith. If we can test the functionality of the component independently, and apply a level of trust that those components work, this opens the door to rethinking our continuous integration and continuous delivery strategy, potentially reducing the need for long test suites and many environments. It will also cause us to rethink our unit testing strategy and the test pyramid. Tim Cochran will talk through the different kinds of component testing, show working examples, and give advice about when to apply them. He will also cover what this might mean for your organization's broader testing strategy.
Among all mobile apps, the current error rate is believed to be at 15 percent. With a thousand new apps launching daily and a constant increase of mobile devices, there’s a need for a scalable solution to create and maintain high-quality apps, without hassle.
A large company moves to agile, but when the going gets tough, they abandon all their agile processes and revert to old ways—which are now a combination of Scrum and waterfall—and delivery is worse than before they started.
We are often reminded by those experienced in writing test automation that code is code. The sentiment being conveyed is that test code should be written with the same care and rigor that production code is written with.