List of Classes and Methods of samples.powermockito.junit4.staticmocking package of Powermock Framework

“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.

I think that probably most development teams describe themselves as being “agile” and probably most development teams have standups, and meetings called retrospectives.There is also a lot of discussion about “agile”, much written about “agile”, and there are many presentations about “agile”. A question that is often asked is what comes after “agile”? Many testers work in “agile” teams so this question matters to us.

Entering the world of testers, one question started to formulate in my mind: “what is the reason that bugs happen?”.

The purpose of developing test cases is to ensure the application functions as expected for the customer. Test cases provide basic application documentation for every function, feature, and integrated connection. Test case development often detects defects in the design or missing requirements early in the development process. Additionally, well-written test cases provide internal documentation for all application processing. Test case development is an important part of determining software quality and keeping defects away from customers.

There is just one area where each member of the software testing community has a distinct point of view! Metrics! This contentious issue sparks intense disputes, and most conversations finish with no definitive conclusion. It covers a wide range of topics: How can testing efforts be measured? What is the most effective technique to assess effectiveness? Which of the many components should be quantified? How can we measure the quality of our testing performance, among other things?