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The internet of things (IoT) brings connectivity to a range of previously non-internet-enabled physical devices and real-world objects. This shift has an impact testing—changing what we test, when we test, and the way we test.

y now you have probably heard that there should be a healthy tension between the product and engineering teams. The key word there is "healthy"—when this relationship is unhealthy, silos tend to form, ideas may be thrown over the wall, and a lack of ownership can develop. 

Testing artificial intelligence- and machine learning-based systems presents two key challenges. First, the same input can trigger different responses as the system learns and adapts to new conditions.

Testers tend to be innately curious creatures. Being curious and evaluating risks—that is what the testing job is about. Often it is the statement “I don’t know” that drives our curiosity in testing. Find out not only how to push past the fear of not knowing but how to embrace your curiosity.

For many test organizations, the first hurdle to automating the testing of a product is deployment of that product in its test environments.

You wouldn't buy a yacht to navigate your swimming pool, any more than you would paddle a canoe to Finland. The first is overkill and the second is dangerous. But we can't conclude that yachts are always overkill or canoes always dangerous; it depends on the context.

Because of its specialized nature, many aspects of application security testing are often assigned to testers from another team or another company, and they may be brought in to perform a point-in-time assessment prior to a release.