Most of the time, software testing is based on comparing the actual behavior of a code or a system with its expected behavior. In his article “The Challenges of Testing in a Non-Deterministic World”, Donald Firesmith explains however that not all software and systems are deterministic, for instance an autonomous adaptive vehicle that uses machine learning software, and that software testing needs to adapt to this context.
This talk discusses elastic leadership principles in the context of software testing. You will learn how to apply them effectively in your day to day work and how they can help you as a software tester to become more effective, while making others around you more effective as well.
In his preface of the book “Common System and Software Testing Pitfalls”, Donald G. Firesmith writes “You can think of this book as a catalog and repository of testing antipatterns: the pitfalls to avoid, how to mitigate their negative consequences if you can’t avoid them, and how to escape from them once you’ve fallen in. Like a naturalist’s field guide to wild animals, let this be your guidebook to the dangerous world of testing mistakes and its denizens – the many creative ways people have discovered to botch testing.”
What kind of software testing do we need to have in a continuous deployment pipeline? What does it take to push a commit all the way to deployment? Fully automated. Several times a day. This is how Spotify does it.
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.
Good test data management is one of the best practices of successful software quality assurance, especially when you perform integration and functional testing for large systems. In this article, Christian Meléndez discusses important topics associated to test data management like how much data do you really need, how to deal with data privacy concerns, test data as self-service and test data generation.
Conferences are often filled with software testing success stories. It can be just as enriching and much more fun to hear about how not to do something. This lightning talk is all about software testing gone wrong.
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