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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...
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Bob Galen
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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...
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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...
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Hilary Weaver-Robb
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Defining the Optimal Level of Test Automation
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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...
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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...
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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...
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Geoff Meyer
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Machine Learning: Will It Take Over Testing
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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.
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Paul Merrill
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Amp Up Your Testing by Harnessing Test Data
Slideshow
The data tsunami is coming—or maybe it’s already here. Data science, big data, and machine learning are the buzzwords of the day. Data is changing our products and the way we build them, so we should also change the way we verify our products. In a world of increasing connectivity and...
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Steve Rowe
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Accessibility Standards and Testing Techniques: Be Inclusive or Be Left Behind
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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...
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David Best
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Automating Performance Testing at Every Step
Slideshow
A major insurance company is building its next-generation claims system and has fifty new APIs to test in twelve months. The entire effort is launched as a first-time agile project with continuous integration. Will the load test, which worked so well with waterfall, serve us when we build...
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Obbie Pet
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