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AI-Driven Testing as a Service: Fad, Fiction, or Future?
Slideshow
Advances in artificial intelligence (AI) and machine learning (ML) are leading to a new generation of software, which is becoming self-adaptive, autonomous, and smart. Academic researchers and industry practitioners are investigating how these new AI and ML technologies can be leveraged to improve software testing and testing services. A handful of testing-as-a-service (TaaS) vendors already offer services that use AI bots to perform some functional and performance testing. How well do they live up to their claims? Can they be used as an effective substitute or supplement for human testers? Or is AI-driven testing just another passing trend? Join Tariq King as he discusses the current state-of-the-art in AI-based testing services and explores what this new generation of testing services has to offer. Come see demonstrations of AI-driven testing tools and understand their benefits and limitations.
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Tariq King
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Automated Testing: Beyond the Basics
Slideshow
[video:https://youtu.be/XubfvhFNs0s width:300 height:200 align:right]
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Jim Holmes
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Migrating from Test Cases to Real-World Telemetry Measures
Slideshow
Ken Johnston sees today’s software ecosystem in the light of Everything as a Service (EaaS). Operating systems like Windows, Android, and Chrome OS all ship regularly like a service. Browsers automatically update every few weeks, and apps are constantly updating through all the app stores. Although getting a test to pass once and signing off has gone by the wayside for software testing, still we run test cases over and over again. Ken shares how Microsoft took millions of test cases—yes, actually millions—and turned the important ones into measures based on real world telemetry. Massive amounts of data coming in from real devices and real users measure product quality and tie it to key customer satisfaction metrics.
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Ken Johnston
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Transformation from QA to Engineering: Testing in the Fast Lane
Slideshow
[video:https://youtu.be/IavieFiAUYI width:300 height:200 align:right]
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Jennifer Scandariato
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Word Smatter: Exploring Semantics, Testers, and Problems
Slideshow
ers [do|don’t] (help) [prevent|detect] problems.” Throughout his career, Damian Synadinos has encountered many variations of this phrase, which uses just a few small words to express many big ideas. It is important to understand what each word means individually to better understand the...
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Damian Synadinos
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Turn the Lights On: A Power Utility Company's Agile Transformation
Slideshow
Why would a century-old utility with no direct competitors take on the challenge of transforming its entire IT application organization to an agile methodology? In an increasingly interconnected world, the expectations of customers continue to evolve. From smart meters to smart phones, IoT...
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Glen Morris
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Balance Discovery and Delivery with Dual-Track Agile
Slideshow
Do your product teams frequently struggle to have groomed and well-defined stories ready for the developers? Do you find yourselves frequently in “feed the beast” mode to keep your development teams busy? Do your product teams have problems gaining shared understanding across product...
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Sean McKeever
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Sustaining Agility—After the Consultants Leave
Slideshow
Organizations transitioning to agile often hire external consultants to help them become more agile. However, what tends to happen six months after the consultants leave is that the organization is often left with more—and different—problems than they had before. Susan Lin says this...
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Susan Lin
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You Might Be an Agile Leader If...
Slideshow
In case you haven’t heard, the leadership landscape has been changing—and continues to change—to keep up with the accelerating pace of business. And agile development has been an incubator of new leadership approaches. It has introduced or fostered many innovative concepts...
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Bob Galen
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The Mass Extinction of Manual Processes: A DevOps Success Story
Slideshow
Large organizations can be filled with manual processes, and many people feel they are stuck with them. Bill Roberts and James La Spada tell the story of how Capital One used DevOps culture and kanban principles to significantly increase the speed of feature delivery—while lowering risk.
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Bill Roberts and James La Spada
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