How to use CalculatePropertyForTestCase class of org.cerberus.servlet.crud.test package

Development practices are constantly changing and as testers, we need to embrace change. One of the changes that we can experience is the move from monthly or quarterly releases to continuous delivery or continuous deployment. This move to continuous delivery or deployment offers testers the chance to learn new skills.

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.

I was once asked at a testing summit, “How do you manage a QA team using scrum?” After some consideration, I realized it would make a good article, so here I am. Understand that the idea behind developing software in a scrum environment is for development teams to self-organize.

The QA testing career includes following an often long, winding road filled with fun, chaos, challenges, and complexity. Financially, the spectrum is broad and influenced by location, company type, company size, and the QA tester’s experience level. QA testing is a profitable, enjoyable, and thriving career choice.

In some sense, testing can be more difficult than coding, as validating the efficiency of the test cases (i.e., the ‘goodness’ of your tests) can be much harder than validating code correctness. In practice, the tests are just executed without any validation beyond the pass/fail verdict. On the contrary, the code is (hopefully) always validated by testing. By designing and executing the test cases the result is that some tests have passed, and some others have failed. Testers do not know much about how many bugs remain in the code, nor about their bug-revealing efficiency.