Test Design
Conference Presentations
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Scale Your QA & Test: Testing with Multiple Teams in Large Agile Organizations
Slideshow
Agile practices are maturing, and more agile teams are making development and testing work in an effective way thanks to TDD, BDD, continuous delivery, and continuous deployment. However, there are many challenges still to conquer in agile practices, such as the lack of accountability for... |
Pablo Garcia Munos
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Testing RESTful Web Services
Slideshow
A lot of folks doing testing (QAs, BAs, and Devs alike) are experienced with testing applications through the front end—a graphical user interface or a mobile app. However, Hilary Weaver-Robb says that with this type of testing we often miss the internal web services and APIs that power... |
Hilary Weaver-Robb
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Defining the Optimal Level of Test Automation
Slideshow
Test automation scripts are largely run against stable functionality with repeatable results. But automation does not have to be just about running reliable tests against a fixed code base to make them effective; rather, you can determine the right level of automation you need to meet your... |
Jim Trentadue
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Architecting an Agile Test Transformation Program
Slideshow
Transitioning test automation efforts from traditional to agile approaches is challenging because it requires cultural, process, technology, and people changes to create a sustained mindset shift and drive desired outcomes. Join Klaudia Breslavets to learn how a complex organization scaled... |
Klaudia Breslavets
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Leverage Big Data and Analytics for Testing
Slideshow
Sabermetrics turned the baseball world upside down by challenging decades-old measures of individual performance and their perceived linkage to team success. After cementing their legacy as the Lovable Losers for 108 years, the Chicago Cubs were able to leverage a data-driven approach... |
Geoff Meyer
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Machine Learning: Will It Take Over Testing
Slideshow
Machine learning (ML), a branch of artificial intelligence, is gaining widespread adoption and interest on software development projects. Paul Merrill says that ML isn't typical programming. Algorithms can be changed and checked for accuracy at runtime to “learn” from data. |
Paul Merrill
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The Three Pillars Approach to an Agile Testing Strategy
Slideshow
Far too often, organizations focus solely on the development teams and their technical practices as their agile adoption strategy. And then there’s the near constant focus on acquiring development tools. Often the testing activity and the testing teams are left behind in agile adoption... |
Bob Galen
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Accessibility Standards and Testing Techniques: Be Inclusive or Be Left Behind
Slideshow
While Information and Communication Technology (ICT) accessibility for a wider spectrum of users—including the blind—and their interfaces is being required by law across more jurisdictions, testing for it remains limited, naïve, and too late. The consequences of staying ignorant include... |
David Best
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Testing in the IoT Era
Slideshow
The age of the Internet of Things (IoT) has come. IoT devices enable a new realm of services and applications—medical devices, fitness and fashion, appliances, industrial, etc. The market is expected to exceed $1.7 trillion by 2020 with more than 200 billion connected devices—and 90... |
Amir Rozenberg
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The Software Testing Pyramid: A Concrete Example
Slideshow
Mike Cohn’s Test Pyramid describes a test automation strategy consisting of a wide base of unit tests, service-oriented acceptance tests for business logic, and a thin layer of tests exercising the user interface. Tests that provide the quickest feedback and fault precision serve as the... |
Jim Weaver
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