Augmented reality (AR) and virtual reality (VR) mobile apps are going to dominate the technical landscape for the next few years. Compared to current mobile apps, testing this new AR and VR technology will require more preparation, more effort, and new tools. BJ Aberle breaks down the methods and tools he uses to test AR and VR applications. Explore test environment requirements and discover the types of test data you’ll need to prepare for AR and VR testing. Learn about Google’s Tango AR platform and BJ’s experiences testing AR apps, including the Tango-based Cydalion app for the visually impaired. BJ shares the pitfalls he discovered—so you can avoid these when starting your AR or VR testing endeavors. Take back a set of new techniques you may be able to apply to streamline your virtual and augmented reality testing efforts.

Let’s face it—dogs are born to sniff everything. Using their noses, they gather information from other dogs, people, and most everything. We teach dogs to use their noses to find bombs, predict seizures, locate cancer cells, detect drugs, and so much more. When dogs smell, they are not just recording an odor; they get an entire story. Although testers have fewer scent receptors than dogs, Susan Zampino says that we can learn how to gather information like a dog to drive our exploratory testing. Using active audience participation, Susan will stimulate participants to rely on their sense of “smell” during exploratory testing sessions. Learn and practice multiple new techniques to gather information and uncover hidden risks. With some practice and consistent focus on using your technical, business, and testing experiences, you can become a bloodhound exploratory tester.

Advances in artificial intelligence (AI) and machine learning (ML) are leading to a new generation of software, which is becoming self-adaptive, autonomous, and smart. Academic researchers and industry practitioners are investigating how these new AI and ML technologies can be leveraged to improve software testing and testing services. A handful of testing-as-a-service (TaaS) vendors already offer services that use AI bots to perform some functional and performance testing. How well do they live up to their claims? Can they be used as an effective substitute or supplement for human testers? Or is AI-driven testing just another passing trend? Join Tariq King as he discusses the current state-of-the-art in AI-based testing services and explores what this new generation of testing services has to offer. Come see demonstrations of AI-driven testing tools and understand their benefits and limitations.

ers [do|don’t] (help) [prevent|detect] problems.” Throughout his career, Damian Synadinos has encountered many variations of this phrase, which uses just a few small words to express many big ideas. It is important to understand what each word means individually to better understand the...