The Latest
Sparking End-to-End Agility[presentation]
Slideshow
Nationwide Insurance had a "Scrummerfall" approach, with long, linear, upfront planning cycles that eventually fed work to agile delivery teams, only to then have the completed work languish in further waterfall steps toward deployment. |
Sanjiv Augustine
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DevOps: A Journey of Automation That's Worth the Wait[presentation]
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Continuous delivery is really about one thing: quickly responding to market changes. As with many teams, Shareen Gurley and Narasimha Yalamala's journey began with automation, which seemed never-ending. |
Shareen Gurley
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Creating High-Performing Teams at Spotify[presentation]
Slideshow
In a scaled agile world of practitioners with diverse software development experience, how should leaders and coaches support teams' continuous improvement and ensure they are using best practices in engineering, ways of working, and culture? |
Catherine Fleres
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Pushing Pennies: Playing with the Principles of Product Development Flow[presentation]
Slideshow
Most agile practitioners first learn by reading a book, taking a class, or attending local meetings. But learning concepts works best when we can put some concrete examples and practice behind the theory. |
Bill DeVoe
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Hunting Sasquatch: Finding Intermittent Issues Using Periodic Automation[presentation]
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In pop culture, Sasquatch (aka Bigfoot) is an ape-like creature infrequently seen in the Pacific Northwest of North America—if he even exists. |
Paul Grizzaffi
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DevOpsing Your Greenfield: Cultivating New Growth[presentation]
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Your project sponsor presents a golden opportunity with a brand-new project, saying, "I want to do some DevOps on our new agile project!" |
Richard Mills
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Fantastic Outcomes and How to Measure Them[presentation]
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Do your metrics track what matters most to your organization, or do they merely quantify your adherence to a process? Is that process a good proxy for real results? In your environment? |
Cheryl Hammond
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Engaging the Other Half of the Room[presentation]
Slideshow
Do you often attend meetings or events where participation is left to only half the room, while the others sit quietly, waiting for it to be over? |
Todd Miller
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The Essential Product Owner: Partnering with Your Teams[presentation]
Slideshow
While the Scrum product owner is arguably the most crucial role within agile teams, we often hear horror stories about POs who aren’t available to their teams, change their minds incessantly on business priorities, or ignore quality requirements and technical debt. |
Bob Galen
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What's That Smell? Tidying Up Our Test Code[presentation]
Slideshow
We are often reminded by those experienced in writing test automation that code is code. The sentiment being conveyed is that test code should be written with the same care and rigor that production code is written with. |
Angie Jones
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Building Healthy Agile and DevOps Teams [presentation]
Slideshow
The tools and technologies our teams rely on to build solutions are changing faster every day. New frameworks, new tools, transformations to DevOps, and migrations to public cloud are all putting strain on our teams. |
Lee Eason
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Mining a Data Lake to Improve Analysis of Your Test Automation Data: An Interview with Greg Paskal[interview]
Video
In this interview, Greg Paskal, a technology innovator in quality assurance, discusses a new open source tool from Elastic Stack that creates a “data lake” that can be mined to analyze the data coming from test automation on a more effective level than pass/fail. |
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Leveraging Machine Learning to Predict Test Coverage[article] Test coverage is an important metric within test management, and as technology evolves, we‘re able to leverage new trends to predict coverage. Weka, an open source suite of machine learning software, can take your test management beyond spreadsheets to the latest AI technologies, letting you predict your test coverage earlier with greater accuracy. |
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Testing in an AI World: A Conversation with Raj Subramanian[interview] Raj Subramanian, developer evangelist at Testim.io, talks about artificial intelligence; the differences between AI, machine learning, and deep learning; and what AI means for the future of software testing. |
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Top 10 StickyMinds Articles of 2018[article] With the rise of technology like AI and practices like DevOps, teams everywhere are looking for ways to speed up testing without sacrificing quality. The articles in 2018 reflect that, with the most popular topics being shifting testing left, optimizing tests for continuous integration, and the future of software testing. If you're looking for cutting-edge testing techniques, check out this roundup. |