STAREAST 2018

PRESENTATIONS

IT Poetry: Distilled Learning from Our Experiences

What Sue Uyetake calls IT Poetry—or distilled learning—is a great communications approach. A way of distilling “What Is” statements as a troubleshooting tool and a way to lighten the moment, IT Poetry has resonated with Sue and her teams. See how you can use IT Poetry to diffuse charged situations with no blame attached, get to the root cause of issues in a retrospective, or help resolve many of the little problems that crop up and can ruin your day.
Sue Uyetake
Leave Behind Us vs. Them: Transforming a Product Team

For most of his career in test/QA, Jason Wick found the prevailing sentiment to be us vs. them—testers vs. developers or the project team vs. the business. And this mindset does not work on a cross-functional product team where everyone must share goals and be willing to put the team goals ahead of all other agendas. During his past year of leading a product delivery team, Jason Wick has discovered that establishing this team goals mindset is no easy task.
Jason Wick
Lightning Strikes the Keynotes

Throughout the years, Lightning Talks have been a popular part of the STAR conferences. If you’re not familiar with the concept, Lightning Talks consists of a series of five-minute talks by different speakers within one presentation period. Lightning Talks are the opportunity for speakers to deliver their single biggest bang-for-the-buck idea in a rapid-fire presentation. And now, lightning has struck the STAR keynotes. Some of the best-known experts in testing will step up to the podium and give you their best shot of lightning.
Rob Sabourin
Machine Data Is Everywhere: Use It for Testing!

As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. First, test that the data is being created.
Tom Chavez
Machine Learning and Data Science for Quality and Performance Engineering

Managing the quality and performance of complex systems requires more than simply executing test cases and running load tests. You need to perform careful analysis of test results and production metrics. The sheer amount of data generated in production and testing makes analysis a huge challenge that is often left wanting. With the magic of machine learning (ML) and the application of data science techniques, you have the opportunity to derive valuable and actionable information from big data.
Gopal Brugalette
Machine Learning Heralds the End of Selenium

Selenium has been the cure for free and low-cost browser testing for years, and—in the world of agile, mobile, DevOps, and browserless interfaces—it is showing its age. Comparing Selenium to what’s coming, Jason Arbon says that machine learning and data analytics will become the new standard for test automation.
Jason Arbon
Make the Shift to Quality Engineering

In the shift toward “continuous everything” in software development and delivery, we know that testing and testers must foster and support innovation within technology. Many of us just don’t know how to gauge that shift or, more importantly, know what needs to happen within our role to make it happen. Melissa Tondi explores the future of testing, what skills we should have/develop to ensure we are prepared for that future, and the traits of a quality engineer (QE)—where she believes many tester roles are shifting.
Melissa Tondi
Make Your Team Awesome—Yes, You Can!

The key to creating high-performing teams is psychological safety—the ability to be vulnerable in front of others even when they hold diverse viewpoints, and the opportunity to take risks and trust that everything will be OK. However, creating this safety is easier said than done. Maaret Pyhäjärvi shares her story of working with software development and test teams to enable them to be awesome. She explains how to reinforce the positive while enabling great software product development by empowering others in your team.
Maaret Pyhäjärvi
Manual Testers Can Thrive in a Test Automation World

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Jeanne Schmidt
Migrating from Test Cases to Real-World Telemetry Measures

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 Johnston

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