STAREAST 2018

PRESENTATIONS

The Four Cs and One T of Requirements “Testing”

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Evgeny Tkachenko

The Next Big Thing: Testing AI and Machine Learning Applications

Our world is changing. Artificial intelligence is being employed in many walks of life—from virtual assistants and robots to self-driving cars. How does this new way of life impact software testing? What is our role … and will we have one in the future? Of course! And it’s a very exciting time to be in testing because there’s not enough known about how to systematically test these AI- and ML-driven applications.

Angie Jones

Thirteen Patterns of Testers Thriving in Agile Teams

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Shaun Bradshaw

Transformation from QA to Engineering: Testing in the Fast Lane

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Jennifer Scandariato

Use Path Analysis in Test Design for Better, Faster Testing

No question about it … software is highly complex maze, and it could take many lifetimes to manually test all the paths in a typical business app. Automation doesn’t help much because it’s not smart enough (yet) to design tests. Rob Sabourin shares his experiences testing complex application—some with more possible paths than particles of matter in the visible universe.

Robert Sabourin

What's an API and How Do I Test It?

API-based applications have become ubiquitous in the past few years. Yet many of us still really don't know what an API is from the inside out. Moreover, many of us don't know much about how to comprehensively test them! Join Paul Merrill to learn what everyone is doing and talking about related to APIs: microservices, REST, endpoints, requests, request methods, and responses. Paul demonstrates four free tools you can use to directly interact with a simple API: curl, the browser, Postman, and Java (with Rest Assured).

Paul Merrill

What’s Our Job When the Machines Do Testing?

After its highly hyped introduction decades ago and followed by a long, quiet “winter,” artificial intelligence (AI) has slowly crept back into our consciousness. While our Siri and Alexa assistants entertain us, machine learning (ML) has brought new conveniences into our lives with solutions including Nest and Netflix. Today, AI brings us to the tantalizing brink of the autonomous vehicle. The sea change of this 4th Industrial Revolution has begun to disrupt industry after industry.

Geoff Meyer

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