EuroSTAR 2027 Call for Speakers:

For three decades, the EuroSTAR Conference has been the leading software testing conference in the world, attracting attendees from more than 40 countries. Each attendee is on a quest for knowledge, eager to learn and gain actionable takeaways from every talk.

When people hear the word toolbox, they often think about things like test automation tools, test data generation, and similar technologies.

But a toolbox is also about capabilities. It is the collection of skills, techniques, experiences, and perspectives we bring to a situation when we need to solve a problem.

When we think about the best testers, quality engineers, leaders, and teams we have worked with, they rarely rely on a single approach. They look at the context, understand the risks, consider the people involved, and then choose the approach that fits.

Sometimes that means exploratory testing, sometimes automation, sometimes test design techniques, sometimes coaching and, yes, sometimes AI – and most often, a combination of several things.

The value is often not just in the technique itself; it comes from understanding when and why to use it.

Sharpening the Craft

The challenge is that our toolbox cannot stand still. We need to continuously add new tools to it. The systems we build are changing, the technologies we use are evolving, new practices are emerging, old assumptions are being challenged, and new opportunities are appearing.

As professionals, we need to continue developing our craft. We need to learn new techniques, refine our existing skill sets, challenge our own thinking, and continuously expand our toolbox. Not because every new approach is better, but because our ability to choose the right approach depends on understanding the options available to us.

So perhaps the real question is not:

“Which tool should we use?”

But:

“How do we choose the right approach for the problem in front of us?”

Share Your Toolbox

At EuroSTAR 2027, we invite practitioners to open their toolbox and share what works for them in their context.

Show us the techniques, practices, skills, and lessons that help you deliver quality every day:

What have you added to your toolbox?

Which approaches have worked?

Which have failed?

What have you learned along the way?

How do you stay sharp and continue evolving your craft?

Whether your toolbox contains test automation, AI assistants, exploratory testing, quality engineering practices, leadership techniques, test design methods, observability, coaching skills, or something entirely different, we want to see it in action.

Bring your stories, your failures, and, most importantly, your practical experience.

Talk Types

Here are some questions and ideas to help inspire your submission:

Share practical examples and experiences of how you have introduced AI into your daily work as a tester or quality engineer.

What is your favourite go-to approach or technique for test analysis and design? How have you applied it in practice, and what value did it bring?

How have you implemented test automation, monitoring, or resilience engineering across your delivery lifecycle to support continuous delivery, observability, and reliability? Did it work? What challenges did you encounter?

Share your experiences, practices, and lessons learned from helping your team improve its way of working, with a focus on improving quality and delivering value.

Is leading people and supporting change part of your work? What is your experience of supporting collaboration across teams or organisations, and how have you supported organisational change?

Do you use risk, metrics, and business value to make informed quality decisions and focus effort where it matters most? How did you introduce this approach, what challenges did you encounter, and what worked in your context?

How to (not) use GenAI for your submission 

Generative AI is great at many tasks, especially if they involve text. Should generating a conference talk submission then not be a task where it can shine and make it much easier for us to create great talk abstracts? 

Unfortunately, no. AI generated submissions are typically really, really poor and get rejected. Not because they are AI-generated, but because they are bad.  

We want your story, not GenAI’s story. Your personal experience, your successes, and failures. They are most convincing in your own voice. GenAI has neither your experiences, nor your voice. As a non-native speaker, I like to use Gen AI to proofread my English and make improvement suggestions. Then I hand-select which ones I incorporate into my text. This is a perfectly valid use case for GenAI, as long as you do not allow it to erase your voice in the process.  

But while this helps me to avoid spelling mistakes and clumsy language, I still have to do the thinking that goes into designing a compelling abstract. And while this is hard, it is also essential for a great talk. I am convinced that we simply cannot delegate this to GenAI. 

In other words, use whichever tools help you, including GenAI, but we strongly encourage you not to skip the thought process that goes into writing a talk abstract by asking GenAI to do it for you. 

See you in Copenhagen

We are interested in your experiences, your successes and failures, your projects and lessons learned, your personal stories. See you at EuroSTAR 2027!