Lightning Talks consist of a series of five-minute talks by different speakers within one presentation period. Lightning Talks are the opportunity for speakers to deliver their single biggest bang-for-the-buck idea in a rapid-fire presentation. Some of the best-known experts will step up to the podium and give you their best shot of lightning. Get multiple keynote presentations for the price of one—and have some fun at the same time.
Most basic software testing will soon be done by a few individual, large systems. But today, software testing is a fragmented world of test creators, test automators, vendors, contractors, employees, and even “pizza Fridays” where developers roll up their sleeves and test the build themselves.
Most fairy tales start out with a scary premise and move to a happy ending. Lately, we have heard lots of scary stories about the future of testing. As machine learning and artificial intelligence continue to gain prominence, we see even more concerns about the tester’s career. With the...
Agile testing is hard. Testers contend with terse requirements, minimal process, little documentation, continually evolving business, technical and organizational factors. Auditors demand proof of compliance. Some teams have trouble conforming to regulations while preserving agile practises..
We're all hearing the buzzwords of AI, machine learning, chatbots, and next-generation testing. Does this mean that the days of traditional testing as we know and practice it are over? Eran Kinsbruner doesn't think so. Join him to learn about the clear transformation happening toward smarter testing techniques and tools. These approaches will drive better pipeline efficiency and release velocity with high quality, and Eran thinks this means good things for the testing practice and practitioners. You'll discover the key trends that are happening around AI, machine learning, and bots in the web and mobile landscapes, and get the ability to identify some early adopters who are taking the lead in these domains.
Ensuring that each new release delivers a positive user experience is now more critical than ever. But with cloud-native apps, microservices, and other compartmentalized elements, an application involves many highly distributed components, and a performance issue in any of them could have a ripple effect across the entire application. Now that new functionality is being released weekly, daily, or even hourly, each team needs instant insight into whether their incremental changes could negatively affect performance. However, legacy performance testing approaches are too late, too heavy, and too slow, and the later you start load testing, the more difficult, time-consuming, and costly it is to debug and resolve performance problems. Developers and testers need a way to expose critical performance issues earlier in the delivery pipeline. Kevin will show you how this is being accomplished in high-performing organizations.
United Flight 232 should have crashed with all 296 lives lost. Asiana Flight 214 should not have crashed at all. However, the actual outcomes were very different. Peter Varhol and Gerie Owen explain that the critical difference between the two flights was the interactions of their respective aircrews. Cockpit crew members work together to best utilize the skills of every team member to make flights safe. Using these principles, a DevOps team can bring their project safely home. The leader of a team is the final authority, but leaders must acknowledge team members’ knowledge and experience; that can make the difference between success and failure. Join Peter and Gerie to experience how you can apply aircrew practices to your team’s delivery of high-quality applications through complementary expertise, collaboration, and decision-making.
Speed is king in agile. In a world where most of the agile process is automated, testing is the slowest and most expensive part of getting your app or website deployed to the world. Very few app teams have a decent amount of test automation, and even they still have days of manual testing during each agile cycle before they release new versions of their app. Testing is difficult, especially at the UI level, which is why it is still relegated to humans. But all that is changing with the application of artificial intelligence and machine learning. Join Jason Arbon as he explains how agile testing is ripe for disruption because AI itself is based on examples of input and output—which sounds a whole lot like the testing activity.
The DevOps movement is front and center across enterprises. Companies with mature systems are breaking down siloed IT departments and federating them into product development teams and departments. Testing and its practices are at the heart of these changes, so companies are turning to continuous testing with the hopes that they can automate their way through the testing bottleneck by focusing on automating regression tests. But this strategy is failing. Adam Auerbach will explain why he thinks that is, what true continuous testing looks like, and how continuous testing should be implemented. Adam will demonstrate that to keep pace with development in the new “you build it, you own it” environment, testing teams and individuals must develop new technical skills and even embrace coding to stay relevant and add more value to the business.