How to use areas method of com.galenframework.tests.validation.ValidationTestBase class

Anyone who has worked in the software industry for a while can tell you stories about projects that were on the verge of failure. Many initiatives fail even before they reach clients, which is especially disheartening when the failure is fully avoidable.

The best agile teams are built from people who work together as one unit, where each team member has both the technical and the personal skills to allow the team to become self-organized, cross-functional, and self-motivated. These are all big words that I hear in almost every agile project. Still, the criteria to make a fantastic agile team are practically impossible to achieve without one major factor: motivation towards a common goal.

When most firms employed a waterfall development model, it was widely joked about in the industry that Google kept its products in beta forever. Google has been a pioneer in making the case for in-production testing. Traditionally, before a build could go live, a tester was responsible for testing all scenarios, both defined and extempore, in a testing environment. However, this concept is evolving on multiple fronts today. For example, the tester is no longer testing alone. Developers, designers, build engineers, other stakeholders, and end users, both inside and outside the product team, are testing the product and providing feedback.

Recently, I was going through some of the design patterns in Java by reading the book Head First Design Patterns by Eric Freeman, Elisabeth Robson, Bert Bates, and Kathy Sierra.

“Test frequently and early.” If you’ve been following my testing agenda, you’re probably sick of hearing me repeat that. However, it is making sense that if your tests detect an issue soon after it occurs, it will be easier to resolve. This is one of the guiding concepts that makes continuous integration such an effective method. I’ve encountered several teams who have a lot of automated tests but don’t use them as part of a continuous integration approach. There are frequently various reasons why the team believes these tests cannot be used with continuous integration. Perhaps the tests take too long to run, or they are not dependable enough to provide correct results on their own, necessitating human interpretation.