Development and quality assurance teams are under strict deadlines to send out deliverables and complete other tasks within a sprint. As these timeframes continue to tighten, it’s important for teams to effectively use agile testing methodologies to keep up with all requirements. Teams must realize that a significant amount of available time will go toward creating features, and that there isn’t going to be infinite space for QA processes.
With DevOps, automated tests have become a crucial necessity. Tests need to be thorough, and their automation should be stable. In fact, tests have to meet quality and robustness criteria that are similar to the application under test, but tests seldom get the attention and investments that the applications get. Where sources and components of applications are considered products that are designed and developed, tests play a mere supporting role. In Scrum projects you will not see tests specified in the backlog. Rather, they are seen as a part of the production for the user stories.
Virtualization has been around for a long time. As early as the 1960s, IBM was supporting virtualization on mainframes to ease the cost of migration among multiple generations of their systems. Languages like Pascal, Java, and C# translate into virtual machine languages that are then either interpreted or further compiled (“just in time compilation”) into actual machine code.
Just when you thought you were safe from more process improvement for a while—not so fast. There’s DevOps, Continuous Testing, Continuous Delivery and Continuous Deployment. In this issue, we are focusing on Continuous Testing, the part most concerning Test teams.