Uploaded December 2025 | Updated September 2026, 2 weeks ago
AI-Supported Software Engineering: Beyond Code
Keynote by Prof. Stefan Wagner, Technical University of Munich (TUM)
Future Technologies Conference 2025
Artificial Intelligence is reshaping the entire software development lifecycle — not just code generation. In this insightful keynote, Prof. Stefan Wagner, a leading researcher in software engineering and AI, explores how Large Language Models (LLMs) can support requirements engineering, software architecture design, and human-centered AI collaboration.
From generating high-quality requirements to producing architectural diagrams and domain-driven design models, this talk shows how AI can accelerate early-stage software engineering while keeping human expertise at the center of the process.
Follow SAI Conferences on Linkedin: linkedin.com/company/saiconference
Conference Website: saiconference.com/FTC
🔍 What You’ll Learn in This Talk
✔ Why software engineering is much more than code generation
✔ How LLMs can support requirements elicitation and quality improvement
✔ The “RecBrain” system — an open-weight, fine-tuned model trained on 44,000+ real-world requirements
✔ AI-assisted generation of ISO 29148-compliant requirements
✔ Architecture modeling with LLMs, including:
• Use case modeling
• Domain-driven design (DDD) workflows
• Event storming simulations
✔ Real case studies with industry partners on LLM-based architecture design
✔ Strengths, limitations, and key risks of AI in software engineering
✔ Why human-in-the-loop processes remain essential
✔ A future vision: Cooperative “engineering agents” across the entire SE lifecycle
From ABS braking systems to large microservice architectures, Prof. Wagner demonstrates where AI truly helps — and where it still falls short.
🧑🏫 About the Speaker: Prof. Stefan Wagner (TUM)
Prof. Stefan Wagner is a Full Professor of Software Engineering at the Technical University of Munich. He holds a Ph.D. in Computer Science and has an academic background spanning both computer science and psychology.
He has authored 130+ peer-reviewed publications, the book “Software Product Quality Control”, and serves on the editorial boards of:
• IEEE Software
• Empirical Software Engineering
• Journal of Systems and Software
Previously a Section Editor for PeerJ Computer Science, he has received numerous best paper awards and is a 2022 IEEE Computer Society Distinguished Contributor. He is also a Senior Member of ACM and IEEE, and a member of the German GI.
His research areas include:
Software quality
Human factors in software engineering
AI-based software engineering
Automotive and safety-critical software
Empirical studies in SE
AI-Supported Software Engineering: Beyond Code
Keynote by Prof. Stefan Wagner, Technical University of Munich (TUM)
Future Technologies Conference 2025
Artificial Intelligence is reshaping the entire software development lifecycle — not just code generation. In this insightful keynote, Prof. Stefan Wagner, a leading researcher in software engineering and AI, explores how Large Language Models (LLMs) can support requirements engineering, software architecture design, and human-centered AI collaboration.
From generating high-quality requirements to producing architectural diagrams and domain-driven design models, this talk shows how AI can accelerate early-stage software engineering while keeping human expertise at the center of the process.
Follow SAI Conferences on Linkedin: linkedin.com/company/saiconference
Conference Website: saiconference.com/FTC
🔍 What You’ll Learn in This Talk
✔ Why software engineering is much more than code generation
✔ How LLMs can support requirements elicitation and quality improvement
✔ The “RecBrain” system — an open-weight, fine-tuned model trained on 44,000+ real-world requirements
✔ AI-assisted generation of ISO 29148-compliant requirements
✔ Architecture modeling with LLMs, including:
• Use case modeling
• Domain-driven design (DDD) workflows
• Event storming simulations
✔ Real case studies with industry partners on LLM-based architecture design
✔ Strengths, limitations, and key risks of AI in software engineering
✔ Why human-in-the-loop processes remain essential
✔ A future vision: Cooperative “engineering agents” across the entire SE lifecycle
From ABS braking systems to large microservice architectures, Prof. Wagner demonstrates where AI truly helps — and where it still falls short.
🧑🏫 About the Speaker: Prof. Stefan Wagner (TUM)
Prof. Stefan Wagner is a Full Professor of Software Engineering at the Technical University of Munich. He holds a Ph.D. in Computer Science and has an academic background spanning both computer science and psychology.
He has authored 130+ peer-reviewed publications, the book “Software Product Quality Control”, and serves on the editorial boards of:
• IEEE Software
• Empirical Software Engineering
• Journal of Systems and Software
Previously a Section Editor for PeerJ Computer Science, he has received numerous best paper awards and is a 2022 IEEE Computer Society Distinguished Contributor. He is also a Senior Member of ACM and IEEE, and a member of the German GI.
His research areas include:
Software quality
Human factors in software engineering
AI-based software engineering
Automotive and safety-critical software
Empirical studies in SE
