How to use waitFile method of com.consol.citrus.javadsl.runner.WaitTestRunnerIT class

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.

I routinely come across test strategy documents when working with customers. They are lengthy—100 pages or more—and packed with monotonous text that is routinely reused from one project to another. Yawn once more— the test halt and resume circumstances, the defect management procedure, entrance and exit criteria, unnecessary generic risks, and in fact, one often-used model replicates the requirements of textbook testing, from stress to systems integration.

The count of mobile users is on a steep rise. According to the research, by 2025, it is expected to reach 7.49 billion users worldwide. 70% of all US digital media time comes from mobile apps, and to your surprise, the average smartphone owner uses ten apps per day and 30 apps each month.

Continuous integration is a coding philosophy and set of practices that encourage development teams to make small code changes and check them into a version control repository regularly. Most modern applications necessitate the development of code across multiple platforms and tools, so teams require a consistent mechanism for integrating and validating changes. Continuous integration creates an automated way for developers to build, package, and test their applications. A consistent integration process encourages developers to commit code changes more frequently, resulting in improved collaboration and code quality.

“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.