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The Dell EMC Journey in the Age of Smart Assistants
Slideshow
Dell EMC is driving to optimize and reimagine their testing practices with the application of data-driven smart assistants, powered by analytics and machine learning.
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Geoff Meyer
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The AI Testing Singularity
Slideshow
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.
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Jason Arbon
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Service Virtualization: How to Test More by Testing Less
Slideshow
Agile teams tend to struggle in getting development and testing in sync. Many teams run minified waterfalls, where testers get working code a few days before the end of the sprint—and tools usually can't help. But service virtualization is one of those rare tools that can make a huge impact and accelerate software delivery by limiting the dependencies needed for testing. Join Paul Merrill to get an introductory demonstration of service virtualization with a freely available, open source tool. Learn the five modes of service virtualization: capture, simulate, spy, synthesize, and modify. Return to your workplace with one more tool in your tool chest. Paul will walk through a common scenario for service virtualization and teach you how you can test more, faster, by testing less!
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Paul Merrill
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Lessons Learned Implementing DevOps: A Discussion
Slideshow
DevOps is fundamentally about collaboration, communication, and effective teamwork across the entire software supply chain. But in practice, DevOps is much more than that. Tools and technology are used to speed up delivery, but organizational change often must be facilitated for DevOps to take root. Join Lee Eason as he facilitates a peer-to-peer session to help DevOps practitioners share their lessons learned while implementing DevOps. Come to this session with your DevOps challenges and get help from peers who have dealt with similar issues, and bring solutions as well, so you can help others improve. After this dynamic, engaging, and collaborative session, you'll leave with new ideas for how to best implement DevOps, along with the satisfaction of knowing you helped others in the process.
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Lee Eason
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Strategies for Selecting the Right Open Source Framework for Cross-Browser Testing
Slideshow
Organizations today are required to test their web application across browsers and mobile devices. Choosing the right framework is a matter of organizational as well as technical fit. With a plethora of test frameworks that span across practices such as behavior-driven development, unit...
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Eran Kinsbruner
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Managing BDD Automation Test Cases inside Test Management Systems
Slideshow
Behavior-driven development (BDD) has been around for a while and is here to stay. However, the added abstraction levels pose a technical problem for writing and managing tests. While BDD does a great job of marrying the nontechnical aspect of test writing to the technical flow of an application under test, keeping this information under source control becomes problematic. Frameworks such as JBehave, Cucumber, or Robot give subject matter experts that additional ability to write tests, but they are often restricted access from them; because people treat test cases as code, they get stored in source control repositories. Additionally, these given-when-then steps soon can grow to an extent where they are difficult to manage without an IDE, and nontechnical people lose interest. Using management tools, Max Saperstone shows how to manage these nontechnical steps and keep them in sync with the automaton in tools such as Git.
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Max Saperstone
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Risk Based Testing: Communicating WHY You Can't Test Everything
Slideshow
The idea of testing everything is a popular one—in fact many stakeholders think that’s exactly what their quality teams do. It usually isn’t and can’t be; but how can teams communicate this? Join Jenny Bramble as she helps to pave the way using the language of risk-based testing. By defining risk in two simple parts, the team and project have a tangible and usable metric. She shares how to apply this metric and use it to determine where the team should focus testing, making it more effective and efficient whilst communicating that effort through the creation of a risk matrix. As a result, risk becomes the right language for the team to communicate clearly and concisely with everyone involved in the project by using agreed-upon words and definitions. Take away a set of tools that can be used to facilitate both better testing and better communication though precise use of language and risk matrixes.
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Jenny Bramble
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Automate Your Application Test Deployments with Docker
Slideshow
In a busy world, testing teams are asked to adopt new approaches to increase speed and flexibility of change. What methods and tools can help? Artem Golubev has seen many testing teams being told to use Docker. But for testers, this brings confusion. What it Docker and why is Docker useful to testers? How can Docker be used to increase confidence in our releases? To help you answer those questions, Artem shares his experience using this popular tool and approach. Starting with terminology Artem shares what is meant by Dockerfile, Docker Image, Docker Container, Compose, Kubernetes, and then explains the advantages and limitations of Docker. He shows how to build a Docker-based deployment in this session and gives Hands-on help. He shows how to add Docker to your own current project on your own machine and how-to setup Kubernetes on Google Compute Cloud.
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Artem Golubev
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Engineering for Compatibility
Slideshow
Modern software development has brought us an incredibly powerful tool: continuous integration and deployment. However, taking advantage of this new system isn’t always straightforward. With powerful new tools come powerful new ways of making mistakes that can take your product down in a heartbeat. Melissa Benua has years of experience making CI and CD work for her, with lots of insights—both good and not so good. Come and learn from her as she shares key tips and tricks for coding and testing for both forward and backward compatibility in software releases. Useful for both traditional testers as well as combined engineers, Melissa provides technical and actionable advice to enable your team to make the right trade-offs and the right time investments, allowing your product to release to your customers safely and successfully.
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Melissa Benua
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Marrying Artificial Intelligence with Software Testing: Challenges & Opportunities
Slideshow
Emerging technologies such as the internet of things (IoT) and cloud computing have introduced a significant software variety and complexity. Wendy Siew Wen Chin and Heng Kar Lau explain that testers are challenged to support a wide product portfolio within harsh time, resource and budget constraints. More test automation may seem to be a solution to test efficiency, however there are many inefficient hot spots throughout the test automation life cycle. Join Wendy and Heng Kar as they share their experiences from the Intel IoT team. They share how to make use of artificial intelligence (AI) tools to leverage opportunities throughout a testing project. They show how to blend test data analytics, test automation, test coverage analytics and test case selection. Learn how software testing, AI and data analytics can be combined to transform your testing, by helping you focus your testing on what matters most.
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Wendy Siew Wen Chin
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