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Welcome opening by Sylvain Perez, CEO at Q-Leap, the main and current organizer of this Luxembourg Software Testing Event.

Every year, the entire community of testers and IT practitioners join this event. An event to get valuable insights about testing practices from experts that help enhancing everyday tasks. Over the years, this conference has gained a reputation of being one of the key and most awaited events on Luxembourg’s IT agenda.

The success of the Luxembourg Software Testing Event is due to the dedicated involvement of Q-Leap. The company is the primary and actual organizer. The Software Quality company has contributed to the conference’s Concept and Character.

Keynote by jemmic: Internal Mobile Device Farms: Design, Deployment & Long-Term Maintenance in CI
Presented by Phu X. Mai & Mario Willems

This presentation outlines the journey of designing, deploying, operating, and maintaining these mobile device farms, while comparing the trade-offs between cloud-based solutions such as AWS Device Farm and in-house infrastructure. Attendees will gain insights into architectural decisions, CI/CD integration, and operational challenges faced, as well as the strategies used to overcome them to ensure consistent, secure, and scalable mobile testing. The session provides actionable takeaways for QA professionals looking to improve testing efficiency and reliability.

Keynote by Q-LEAP: Scaling Mobile Performance Testing with Real Devices and Real Conditions
Presented by Julien Desmulier.

Performance testing on mobile applications goes far beyond running automated scripts. In some cases, achieving realistic results requires controlling the physical positioning of devices, managing network conditions, and ensuring parallel execution across diverse environments. In this talk, I share the challenges and insights gained from a real-world performance testing project where these constraints played a critical role in the validity of the tests. We will explore how Selenium, Appium, and AWS Device Farm were combined to create a scalable, automated, and repeatable performance testing pipeline, and why alternative solutions—including on-site device farms—were evaluated but ultimately discarded. 

Whether you are a QA engineer, test architect, or mobile developer, this talk provides actionable strategies to design performance tests that truly represent how your users experience your mobile app.

Keynote by Université de Luxembourg: Advanced Software Testing of Cyber-physical Systems
Presented by Prof. Domenico Bianculli  & Prof. Fabrizio Pastore & Dr. Claudio Mandrioli

Software for safety- and mission-critical systems must be accurately verified to prevent hazards and failures in the field.
This talk presents methods for automatically generating test oracles for cyber-physical systems, assessing the coverage of software test suites, and guiding the generation of missing test cases. It also reports on the application of these methods within research projects conducted in collaboration with industrial partners in the space domain.

— A keynote by Prof. Domenico Bianculli  & Prof. Fabrizio Pastore & Dr. Claudio Mandrioli

Keynote: Leveraging AI and Data Virtualization for QA in ERP Implementations.
Presented by Dean Bodart, SQAI-Suite (NSI Partner)

This session explores the evolving role of AI in software testing, with a particular focus on ERP implementations and migrations. Led by an experienced quality and test manager, the discussion examines the opportunities and limitations of AI in enhancing quality assurance processes within complex ERP environments, drawing on practical experience. The diversity of business scenarios and ERP solutions makes ensuring quality during such transitions particularly challenging.

A practical example illustrates how AI-driven solutions can automate the generation of contextually appropriate test cases. This approach helps reduce repetitive tasks and improve consistency in test coverage.

The session also addresses the critical issue of test data. The discussion covers a progression from synthetic to semi-synthetic datasets, and ultimately to virtualized databases, which can provide efficiency and scalability benefits depending on the context.

Finally, the session emphasizes that human expertise remains essential. Functional test engineers, automation specialists, and QA managers continue to play a central role in project success. AI is presented as a complementary tool, supporting experienced professionals rather than replacing them.

— A keynote by Dean Bodart, Global Partner & Success Manager SQAI-Suite (NSI Partner)

Keynote: How Synthetic Data Is Changing the Testing Game
Presented by Silvia Martina & Bruno Pacheco, LNDS.

Testing software with real data often raises challenges around privacy, compliance, and accessibility. This keynote explores how synthetic data is revolutionizing testing practices by providing safe, scalable, and realistic alternatives. We’ll start by introducing the concept of data as a product — highlighting the importance of quality and preparation for effective testing. Then, we’ll dive into synthetic data: what it is, its benefits, and how it enables robust testing environments without compromising security. Through a practical use case featuring open-source tools like the Synthetic Data Factory Generator, you’ll see how synthetic data can accelerate innovation. Finally, we’ll share resources available in Luxembourg, including repositories and the Open Data Platform, to help you get started. Join us to discover why synthetic data is becoming a cornerstone of modern software testing and quality assurance.

— A keynote by Silvia Martina, Senior Data Engineer & Bruno Pacheco, Principal Solution Architect from LNDS.

Data is the lifeblood of Artificial Intelligence, but data quality is the silent factor, unnoticed until it breaks. Join our roundtable, ‘Data Quality: The Unseen Foundation of Reliable AI,’ to explore how high-quality data underpins trustworthy and effective AI systems.

Our discussion brings together leading experts across three key perspectives: the technical side of data standardization and preparation for AI, real-world experiences from organizations navigating the challenges of implementing AI, and finally, the legal and regulatory framework ensuring data compliance. Discover practical insights, learn about best practices, and understand why investing in data quality today is essential for building AI you can truly rely on tomorrow.

Experts:

• Julien Ehrhart, AI Security Advisor, Thales Group
• Liubomyr Bregman, AI & Data, Deloitte Luxembourg
• Philippe Valoggia, AI Project Officer Artificial Intelligence, Innovation, and Technology Division at CNPD
• Cristiano Cunha, Solution Architect & Test Advocate at Xray

This session/table will be moderated by Avanti Avanti Sharma.

Keynote by Deloitte: Testing AI Components at Production Scale — A Real-World Case Study presented by Liubomyr Bregman

In this session, Liubomyr Bregman will share Deloitte’s experience and the lessons learned from deploying AI-enabled tools in a production environment. He will explain the approach used to test AI components, from data and model validation to monitoring and governance. The keynote will also explore anticipated developments and emerging technologies that make scalable and reliable testing of AI tools possible.

— A keynote by Liubomyr Bregman, Deloitte

Keynote by Sogeti Group: The Human Factor in Generative AI
Presented by Antoine Aymer, VP-CTO QE&T at Sogeti Group

Generative AI is transforming the way we work, but the most important factors extend beyond the technology itself. After two years of experimentation and production deployment, Antoine Aymer will share key observations, including the critical threshold of efficiency required to achieve real impact, the essential process of task decomposition, and the unexpected evolution of the human role in this new landscape.

— A keynote by Antoine Aymer, Sogeti Group