Conference Schedule

As philosopher Heraclitus once said, “The only thing that is constant is change.” Which means that when stop fighting change, stop staying stuck in “the way things have always been” and START embracing the power of change—within our mindsets, offices, objectives—we START transforming into the most relevant and resonant versions of ourselves, our teams, and our organizations. As a change-agent both inside technology and WAY OUTSIDE, this interactive (and fun) session is focused on you gaining the clarity, creativity, and confidence necessary to wield the power of change and have impact...Read more

Migrating your apps to Kubernetes and breaking up monoliths pose a unique set of testing challenges. Container-based testing gives us enormous flexibility and scalability and your testing strategy should take that into account. Waiting for a full environment and simply migrating your test scripts is risky and doesn't take advantage of Kubernetes container management features. Making sure your migrated app can handle normal load as well as spikes requires careful planning. You may also want to compare different clouds. In this talk, Matthew will go through some proven strategies for using...Read more

Using artificial intelligence to generate test code is a hybrid automation strategy that combines the best of both worlds. Tests can be created very quickly by almost anyone using AI, yet the tests are still planned by humans and maintainable by humans. With the right prompts, you can have AI construct traditional test code using open source testing tools that the world is already familiar with (Chai, Mocha, Cypress). As a result, you end up with structured code that is logical and easy to maintain without having to wonder what the AI is testing. In this session, Timothy will look at...Read more

Many companies are asking the question: "What can AI do to improve our QA practices?" But is this the right question? David believes that as QA practitioners the real question is "How should we be preparing to efficiently test emerging and complex ML an AI systems?" AI testing is different from traditional testing because AI systems are not static, but dynamic and adaptive. They learn from data and feedback, and change their behavior accordingly. This means that AI testing must account for the variability and unpredictability of AI systems, and ensure that they are not only functional, but...Read more

In CI/CD pipelines, automated testing services validate functionality of apps across hundreds of real-world mobile devices and OS versions. However, these same automated testing services can use methods and tools that violate security policies such as: emulators, virtualization, resigning, debugging, dual spaces, Magisk and more. Once security protections are added to a mobile app, the security features will trigger and may prevent automated testing. In this session, Karen will discuss how you can eliminate the need to test protected and unprotected builds separately. You will also learn...Read more

Feeling unheard in your fight for web accessibility? What if you could turn this struggle into a success story? Join this candid conversation on navigating the nuanced journey of integrating accessibility, even when convincing leadership seems like an uphill battle. Together, we'll reflect on Renata's initial stumbles, identify common pitfalls, and strategize to avoid them. Anticipate leadership concerns by understanding deeper motivations behind their resistance. Master the art of speaking their language and tailor your message to resonate with decision-makers. Empower your champions,...Read more

Without training in software testing that includes formal methods such as equivalence class partitioning, boundary value analysis, decision tables, state diagrams, and others, an engineer, in good faith, will test the code intuitively until reaching “qualitative confidence” that testing is sufficient. The team at Trimble, Inc. provided training to engineers in a wide variety of formal testing methods so they could gain “quantitative confidence” that code has been tested sufficiently, by using methods known to achieve concrete coverage in requirements and code. Subsequently, Trimble...Read more

As we modernize and automate our tests in DevOps, or even adopt AI, we need to consider what we might be missing. In this presentation, Aaron will discuss the history of exploratory testing, how it gained popularity with agile and DevOps practices, and why we still need it as we move forward with AI-driven testing. We will briefly look at what a healthy test pyramid involves and discuss why we would want to use planned exploratory testing as part of the healthy pyramid. We will cover how exploratory testing is different than ad hoc testing, how to plan it, time box it, and use a charter....Read more