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GenAI-Assisted Requirements Engineering
Inhalte
Chapter 1 – Fundamentals of GenAI and Prompt Engineering
- Understand what GenAI is and isntno jargon, just practical models
- Learn the basics of prompting and how LLMs work
- 5 demos/hands-on exercises
- Outcome: Robust mental model of LLM behavior and basic prompting patterns
- Discover structured prompting techniques by trying out various reusable patterns
- Use GenAI for RE-specific scenarios: empathy mapping, devils advocacy, conflict resolution
- 8 exercises
- Outcome: Prompts that think critically, not blindly follow
- Translate vague requirements into clear, testable text
- Practise phrase templates and glossary building
- 5 exercises
- Outcome: AI that improves clarity, and does not create confusion
- Generate diagrams from prompts using PlantUML or Mermaid (Use Case, Class, Activity, State)
- Evaluate which model adds the most value
- 5 exercises
- Outcome: Modelling thats lean, relevant, and iterative
- Turn fast, secure, intuitive into measurable, auditable clauses
- Apply standards like OWASP and ISO 25010 in GenAI prompts
- Add a GDPR constraint check as a practical bonus
- 4 exercises
- Outcome: AI as a partner in quality, not an exaggerator
- Discuss hallucinations, outdated data, client confidentiality, and GenAIs limits
- Learn to scope internal GenAI pilots with a stepwise adoption plan
- Demos and checklists included
- Outcome: Realistic roadmap for GenAI adoption in your RE practice
Chapter 1 – Fundamentals of GenAI and Prompt Engineering
- Understand what GenAI is and isntno jargon, just practical models
- Learn the basics of prompting and how LLMs work
- 5 demos/hands-on exercise...
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