ASQF Quality Day 2026: AI in Quality Assurance – Lessons from Implementation
Conference on the practical implementation of AI in quality assurance, exploring agentic testing, LLM-based systems, software security, and lessons learned from real-world projects.
The ASQF Quality Day 2026 focuses on how artificial intelligence is being introduced into software testing and quality assurance. While AI offers new opportunities for automation and efficiency, successful implementation also depends on data quality, integration into existing processes, employee acceptance, cost-effectiveness, and regulatory considerations.
The conference brings together practitioners and researchers to share real-world implementation experiences, lessons learned, success factors, and common challenges. Technical sessions cover context engineering for generative AI in testing, automated software testing with Agentic AI, model-based testing of AI agent orchestration, and quality assurance for LLM-based applications.
Further topics include managing the costs of AI agents, establishing evidence-based trust in complex systems, and detecting software vulnerabilities through autonomous agents. A panel discussion and networking breaks provide opportunities to exchange perspectives on the practical use of AI in quality engineering.
- Date: November 3, 2026
- Time: 9:00 AM–5:30 PM; registration from 8:30 AM
- Location: Fraunhofer FOKUS, Kaiserin-Augusta-Allee 31, 10589 Berlin
- Organizer: Arbeitskreis für Software-Qualität und -Fortbildung e.V. (ASQF)
- Admission: Free for ASQF members and students; €100 including VAT for non-members
- Audience: Software testers, quality engineers, test managers, developers, researchers, and professionals working with AI in quality assurance
- Focus: AI in quality assurance, Agentic AI, automated software testing, LLMs, context engineering, AI assurance, software security, and cost management
- Speakers: Jürgen Beniermann (Capgemini/Sogeti), Florian Shtutman-Braun (]init[ AG), Thanh Viet Nguyen (Capgemini/Sogeti), Dr. Thomas Fehlmann (E-P-O), Prof. Dr. Andreas Schmietendorf (HWR Berlin / University of Magdeburg), Dr. Anne Kramer, Guido Werner (seppmed GmbH), Luca Jungnickel (Fraunhofer FOKUS)
- Program: Technical presentations, panel discussion, practical case studies, networking breaks, and closing discussion
- Research topics: Agent-based vulnerability detection, model-based testing, human oversight, LLM integration, and evidence-based AI assurance