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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. 

Jennifer Bonine's picture Jennifer Bonine
Brain made out of a circuit board 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.

Bhavani Ramasubbu's picture Bhavani Ramasubbu
Raj Subramanian 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.

Owen Gotimer's picture Owen Gotimer
Group of people holding trophy that says "2018" 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.

Beth Romanik's picture Beth Romanik
Woman holding a magnifying glass to her eye Become a Data Detective[article]

Rapid changes in data availability and analysis tools are leading to evolving expectations for the data analyst role. We can do much more than just generate reports; we have the opportunity to not only process data, but convert it into understandable information and use the knowledge revealed by our work to help change happen.

Nels Hoenig's picture Nels Hoenig
Testers looking at graphs of performance test results Responsibly Reporting Performance Test Results: Trends, Noise, and Uncertainty[article]

In order for performance test results to have value, you should report them in context. There are two main considerations: How do these compare to previous results? And how can we provide early reports on performance while emphasizing that these are preliminary results that may change significantly as we progress? Here are some ideas for responsible reporting.

Michael Stahl's picture Michael Stahl
STAREAST How to Lead Without Authority[presentation]
Slideshow

Do you need to lead a project but have no level of authority? Is this the first time leading a project, but not sure where to start? Are you interested in potentially being a leader, but wondering what it takes?

Jolene Trzebiatowski
STAREAST Are You the Best Leader You Can Be?[presentation]
Slideshow

We are all leaders. At a minimum, we must lead ourselves every single day, but many of us also have teams that we lead and serve. Have you ever stopped to analyze yourself to determine if you are the best leader you can be?

Amy Jo Esser
STAREAST Dig In: Get Familiar with the Code to Be a Better Tester[presentation]
Slideshow

Maybe you’ve been testing the same application for a while and your rate of finding new bugs has slowed. Or you’re trying to find more ways to figure out what your devs are doing day to day.

Hilary Weaver-Robb
STAREAST Lessons Learned Automating Cloud and Infrastructure Testing[presentation]
Slideshow

As organizations embrace DevOps and IT value chain automation, we are seeing the explosive growth of infrastructure-as-code capabilities, fueled by cloud scripting technology.

Joseph Ours
STAREAST Using and Implementing BDD a Day in the Life[presentation]
Slideshow

Learn how to discover, prioritize and plan the features that really matter: those that will deliver real business value and that will make a difference to your organization.

Rick Faulise
STAREAST AI in Testing: A Moderated Panel Discussion[presentation]
Slideshow

Artificial intelligence is the newest trend in software testing. But what is it, and how will it impact the tester's role, both today and in the future? What do you need to do to embrace this emerging technology?

Adam Auerbach
STAREAST Testing in Production[presentation]
Slideshow

How do you know your feature is working perfectly in production? And if something breaks in production, how will you know? Will you wait for a user to report it to you?

Talia Nassi
STAREAST Excuse-Free Testing: An Open Source Tool for Simpler CI Integration[presentation]
Slideshow

The goal of continuous testing is to find defects earlier in the development lifecycle and release software faster to the market.

Klaus Neuhold
Gauge with a needle in the green zone, showing good performance 7 Simple Tips for Better Performance Engineering[article]

Rigorous practices to reinforce performance and resilience, and testing continuously for these aspects, are great ways to catch a problem before it starts. And as with many aspects of testing, the quality of the performance practice is much more important than the quantity of tests being executed. Here are seven simple tips to drive an efficient performance and resilience engineering practice.

Franck Jabbari's picture Franck Jabbari

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