Tutorials, articles, tools and resources on how to integration regression testing in software testing.
Even the best software test suites can’t entirely prevent nasty surprises: race conditions, unexpected interactions, faults in distributed protocols and so on, still slip past them into production. Yet writing even more tests of the same kind quickly runs into diminishing returns. This talk presents new software testing automated techniques that can dramatically improve your software testing, letting you focus on what your code should do, rather than which cases should be tested.
Testcontainers is an open source Java 8 library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
This presentation explores the issues and controversy around integration testing efforts. Then it follows with a discussion of testing outcomes and explores some patterns and techniques to achieve appropriate test coverage to build confidence while releasing software.
Years after Kent Beck provided JUnit, unit testing is part of most developer teams tooling. However, there is a trend that tends to threaten unit testing, claiming only integration testing can truly detects defects in software. This presentation first defines what unit testing and integration testing are, and their respective pros, cons and uses. Then, it explores the unique challenges posed by integration testing. Finally, tools and techniques are presented so that integration testing can become a true asset in each software developer bag of tricks.
When you learn to program, everything happens on the same computer, but when you start working for a (structured) organization, you realize the risks of changing and testing code directly where your users or customers are working. Thus you will have separated environments for developing, integrating or releasing your system. In this article, Richard Ellison provides some best practices for software testers on how to manage software testing environments.
One of the problems we face in automated system testing is how to setup and manage the life cycle of the included applications. Traditional virtualisation technologies can provide solutions to these problems, but at the price of heavy resources requirements and unacceptably long startup times. Docker on the other hand, with lower resource requirements and shorter application startup times, has seen a lot of interest lately for looking like a better fit for automated system testing.
Although it could appear like a counterintuitive concept, the idea of performing software testing in production has gained more and more visibility in a software development world that aims for rapid delivery of new features and where it could be more and more difficult to reproduce the full complexity of applications in a separate environment. In this article, Marc van ’t Veer discusses the concept of testing in production and why it should be performed.
