Irja Straus
Quality Engineering Lead & Consultant
Zagreb, Croatia
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Irja came into testing by accident, and after years of successful product management work, she returned to it - intentionally. After 15+ years of working in different companies and industries (including SaaS, CPaaS, robotics, machine learning, AI, and U.S. healthcare), Irja now runs her own consulting company and helps teams build confidence in quality through a modernized testing approach and quality engineering practices.
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Beyond Pass and Fail: Metrics That Matter
Have you ever wondered what success means in the context of a test automation project? For me, success has been closely connected to the role I’m in. As a tester, success for me is pushing a test into CI/CD and seeing it run depending on defined triggers. As a test lead, for me, success is the information that each test reveals. While for me, as a manager, success is neither one nor the other - success is achieving results within a given (and as small as possible) budget.
In this talk, I will share how I reached the “definition for success” of automation in testing, explain how we can calculate the value and leave you with at least one practical metric that can be used in your own (successful) projects.
How to Train Your Robot
In today's world, we have the privilege of witnessing the beginning of the rise of robots. More and more companies are dealing with robotics or autonomous systems, and articles predicting the future, like from the legendary movie Terminator, arrive in my inbox almost weekly. Given the hype and the lack of practical experiences, it is easy to think that testing robots is entirely different, but is it as it seems, and are there any techniques from the good old world of software that we can apply to robots and autonomous systems?
In this story, I will tell you about my experiences and lessons learned from a year of hanging out with different robots. I will share how to test autonomous systems using contemporary exploratory testing practices. We will learn what robots have in common and the techniques we apply to train them. You will see that testing the autonomous systems is still good old testing but with different flavors of danger and predictability. How do you cope with these flavors after working exclusively in software applications? I believe this question will pop into our minds more and more, so if this raises your curiosity, then this talk is a place to be.
Key takeaways:
1. How to test robots using contemporary exploratory testing.
2. How to "translate" our "software skills" and apply them to domains such as robotics.
3. Hear the real experience and how it was to work daily with a 4,5-ton heavy autonomous vehicle.
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