Test Design

In an agile world where having dedicated testers can be a controversial idea, manual testing is a tough sell. Not all contexts have their testing automated, so what is a manual tester to do when it comes time to release? Your team starts asking about regression testing, requests estimates, and expects justifications for the time being spent. Intuition isn't the answer, and retesting everything is not an option. In this session, seasoned tester Brendan Connolly will share his five core values for focusing your regression testing efforts: consistency over correctness, behaviors over bugs, intent over implementation, conformity over complexity, and common over complete. These values not only help with decision-making, but also serve as a heuristic foundation for understanding and communicating about regression testing, as well as define a clear intent and context for all your future regression tests.

Agile methods aren’t just for software anymore—actually, they haven’t been for quite a while. Agile's collaborative, iterative, incremental approaches to work have caused it to go mainstream. But can we apply team-based agile straight out of the box in a nonsoftware context? Although most of the principles and patterns apply, sometimes the practices and frameworks need modification for a particular context. Mike Cottmeyer will explore two case studies of agile journeys: an international hotel chain going through a major rebranding initiative, and a well-known fast food restaurant looking to optimize its kitchen production capacity. These are two totally different companies in two totally different industries, both trying to use agile to solve their problems. We’ll look at the challenges each faced, what they had in common, and the patterns, tools, and techniques they are using.

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.

To emulate production-like conditions that cannot be tested on the unit level, many integration and functional tests need a realistic environment. However, performing these tests in a production-like environment is fraught with problems—test data management issues, tests that are difficult to execute repeatedly, and network traffic that causes long-running test execution times. Instead of having to deal with these problems and others, Irene Dhong employs Docker to simulate dependencies. Learn how you can take advantage of Dockerized dependencies for quick test writing, reusability of common development code, and the ability to test early and often on a very low functional level. Irene describes how her development team is using Docker to implement more effective TDD and unit testing environments because Docker utilizes similar infrastructure both on the development and DevOps side. Join in to get Dockerized, too.