EuroSTAR Conference 2026: Why It’s Worth Visiting msg.passbrains in Oslo

by | Crowdtesting

The EuroSTAR Conference 2026 will take place in Oslo from June 15–18, once again bringing together the international testing community. Under the theme “Testing at its Best,” the conference will focus on what modern quality assurance must look like in an increasingly complex, AI-driven, and dynamic software world.

msg.passbrains will once again be on-site in 2026—with a clear focus:
How can efficiency, test coverage, and real-world user perspectives be effectively combined?

After all, modern quality assurance is under pressure. Release cycles are getting shorter, digital products are becoming more complex, budgets are tighter, and user expectations are higher. At the same time, artificial intelligence is transforming not only the products themselves but also the way testing is conducted.

This is exactly where msg.passbrains comes in:
Crowdtesting with real users and AI-based test case generation with msg.TestcaseGen.ai.

 

Why EuroSTAR 2026 is a must-attend event for QA professionals

The EuroSTAR Conference is one of the most important gatherings of the European software testing community. For 2026, EuroSTAR has announced more than 60 sessions, keynotes, tutorials, and talks by international experts. In addition, the event brings together more than 1,000 participants and teams from around 350 companies each year.

This makes the conference particularly relevant for anyone involved in the strategic and operational development of software quality, including:

  • QA Leads and Test Managers
  • Product Owners and IT Project Managers
  • DevOps and Engineering Teams
  • Test Automation Manager
  • UX and Digital Product Teams
  • Decision-makers focused on digital quality

The key questions for this target group are clear:

How can testing processes be accelerated without compromising quality?
How can AI be effectively integrated into existing QA processes?
How can we better address real-world use cases?
How can companies deliver reliable digital products despite limited resources?

The answer increasingly lies in a hybrid QA strategy.

 

Testing at Its Best: Why Modern QA Needs Both

“Testing at its Best” doesn't just mean running more tests these days. It means implementing the right tests at the right time using the appropriate methods.

This is precisely where the added value of combining AI-based test case generation and crowdtesting comes into play.

AI helps make test design more efficient, structured, and scalable. Crowdtesting verifies whether digital products actually work, are understood, and inspire trust under real-world conditions.

In other words:

AI helps to systematically plan what should be tested.
Crowdtesting reveals what actually happens in real life.

This combination is particularly valuable because many companies today must meet two conflicting demands at the same time: becoming faster while also aligning more closely with real-world usage.

 

AI-Based Test Case Generation: Structure and Speed in Test Design

In many projects, test case creation is still a manual, time-consuming process. Requirements are reviewed, interpreted, translated into test scenarios, and then documented. The more complex the project, the greater the risk of gaps, inconsistencies, and delays.

With msg.TestcaseGen.ai, msg helps teams streamline this process.

AI-based test case generation can help:

  • Analyze requirements more quickly
  • Derive test cases automatically
  • Identifying dependencies and gaps early on
  • Build a more systematic test coverage
  • To reduce repetitive tasks in test design
  • To relieve QA teams of manual preparatory work

The benefit isn't just about speed. Consistency is also key: when requirements are analyzed in a structured manner and translated into clear test cases, the quality of the test suite improves.

For QA teams, this means less time spent on preparation and more focus on evaluation, prioritization, and quality.

 

Crowdtesting: A Reality Check for Digital Products

As important as structured test design is, many problems only become apparent in a real-world usage context.

Internal testing cannot fully account for every device variant, operating system, environment, and user behavior. Furthermore, teams often know their own products very well. As a result, certain workflows, workarounds, or weaknesses in the user experience are more easily overlooked.

Crowdtesting complements traditional QA in exactly that area.

By using real users, actual devices, and authentic usage scenarios, the following aspects—among others—can be evaluated:

  • Usability and clarity
  • Technical issues on different devices
  • Performance in everyday life
  • Interruptions in critical processes
  • Accessibility
  • Trust in digital services
  • Unexpected usage patterns
  • Regional or cultural characteristics

This perspective is particularly crucial when it comes to complex digital applications, self-service portals, e-commerce processes, or AI interfaces. After all, even technically sound systems can still fail if users do not understand them, do not trust them, or abandon them at the critical moment.

 

Why the Combination of AI and Crowdtesting Is So Powerful

The real strength comes from combining both approaches.

AI-based test case generation brings structure, speed, and coverage to the early stages of the testing process.
Crowdtesting provides real-world validation, authentic feedback, and insights from actual usage scenarios.

This results in a consistent QA approach:

  1. Requirements are systematically analyzed.
  2. Test cases are generated efficiently.
  3. Risks and gaps become apparent sooner.
  4. Real users test the product in everyday life.
  5. Feedback is incorporated into optimization, testing strategies, and further development.

The result isn't just faster testing. It's a better basis for decision-making.

Companies can identify earlier which risks are relevant from a functional, technical, or user perspective. At the same time, they receive reliable feedback from real-world usage scenarios—and thus gain exactly the perspective that traditional testing environments often fail to provide.

This combination is particularly valuable when budgets are tight. AI reduces the manual effort involved in test design. Crowdtesting increases the effectiveness of testing without requiring companies to significantly expand their own internal testing capabilities.

 

Particularly Relevant for AI-based Applications

A key focus of EuroSTAR 2026 is clearly on AI, human skills, bias, large language models (LLMs), and the role of testers in an increasingly AI-driven software world. The official program features numerous sessions on topics such as AI-driven testing, LLMs, bias, human-centered leadership, and how AI is transforming the roles of testers.

This underscores a key development:
AI is changing not only the testing process, but also the products being tested.

When it comes to AI-based interfaces, it is not enough to simply test their standard functionality. It is also crucial that:

Do users understand the AI's response?
Does it build trust or create uncertainty?
Are the results transparent?
How does the system respond to ambiguous input?
What biases or edge-case risks arise in real-world conversations?

Here, too, the combination of AI-powered test design and real-world user perspectives is particularly powerful. msg.TestcaseGen.ai helps systematically cover test areas. Crowdtesting reveals how people actually interact with AI systems.

 

What to Expect at msg.passbrains at EuroSTAR 2026

At EuroSTAR 2026 in Oslo, we will demonstrate how modern quality assurance can become more efficient, realistic, and scalable through the strategic use of crowdtesting and AI-based test case generation.

Our key areas of focus on site:

1. Crowdtesting with msg.passbrains

Claudia Figura will discuss real-world user perspectives, UX testing, crowdtesting for digital products, and testing AI interfaces. The focus will be on how companies can systematically integrate real-world user experiences into their QA processes.

2. AI-based test case generation with msg.TestcaseGen.ai

Stephan Ingerberg demonstrates how AI is transforming the creation of test cases and how teams can analyze requirements more quickly, automatically generate test cases, and streamline testing processes.

3. Hybrid QA Strategies for Modern Software Quality

Together, we’ll discuss with you how AI, automation, crowdtesting, and traditional test management can be effectively combined—in a way that aligns with your processes, tools, and quality goals.

 

Why You Should Visit Us in Oslo

It’s especially worth speaking with msg.passbrains if you’re currently facing any of these challenges:

  • Your QA resources are limited, but the demands are increasing.
  • Your test case creation process is still too manual or time-consuming.
  • You want to integrate AI effectively into your testing processes.
  • You need more insight into the real-world user experience before the launch.
  • You want to identify UX, device, or compatibility risks earlier.
  • You are testing AI-based applications or planning related use cases.
  • You are looking for a scalable QA strategy for multiple markets, platforms, or products.

We’ll show you how to achieve faster results, better coverage, and more realistic test results with the right combination of AI-powered test design and crowdtesting.

 

Schedule an Appointment or Use a Discount Code

Will you also be attending the EuroSTAR Conference 2026 in Oslo?

Feel free to connect with Claudia Figura or Stephan Ingerberg on LinkedIn beforehand, or schedule an appointment with us directly at our office.

Schedule an appointment.

Connect with Claudia Figura on LinkedIn.

Connect with Stephan Ingerberg on LinkedIn.

In addition, you can use our discount code ES-MSG10 to get 10% off your EuroSTAR ticket.

 

Conclusion: Modern QA Lies at the Intersection of Automation and Reality

The theme of EuroSTAR 2026 is “Testing at its Best.” For msg.passbrains, this means that quality assurance today must be efficient, intelligent, and realistic.

AI-based test case generation helps make testing processes faster and more structured. Crowdtesting ensures that digital products not only work in the testing environment but also perform well in real-world usage scenarios.

It is precisely this combination that makes modern quality assurance sustainable.

We look forward to speaking with you in Oslo.

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