Thesis Topics
GenAI to Detect and Extract Requirements from Security Standards: A Feasibility Study
How well can GenAI detect, extract and formulate actionable software requirements from security standards?
Objectives
- Analyze the potential and limitations of AI to detect requirements
- Analyze the performance of AI in extracting requirements information
- Evaluate the usefulness of different software requirement formulations
Requirements
- Strong understanding of NLP, LLMs, and prompt engineering
- Strong security and security compliance knowledge
Expected Duration: 6 months
Industrial Product Backlog Exploration: Potential and Limitations of NLP-based Analyses for Security Purposes
How reliably can NLP techniques support engineers by providing security advice for backlog items that are relevant for the security of our product?
Objectives
- Employ NLP techniques to detect backlog items relevant for the product security
- Map relevant security advice/rules to backlog items
- Evaluate the effectiveness and reliability of the approach
Requirements
- Basic understanding of NLP techniques
- Basic understanding of security & security compliance
Expected Duration: 4 months
On the Feasibility of Automated Relation Analysis of Regulatory Security-Relevant Requirements
To what extent can we analyze the relations between requirements originating from different regulations or even internal policies to understand overlaps and contradictions?
Objectives
- Build a corpus of relations between different requirements from regulatory documents - based on published resources
- Prototype different NLP approaches for the analysis of the relation between those requirements
- Evaluate the effectiveness of the approaches and outline limitations
Requirements
- Strong understanding of NLP techniques
Expected Duration: 4-6 months - Start: October/November 2025
How to Apply
Interested in one of the available thesis topics? Please contact me with:
- A brief motivation explaining your interest and experience
- Relevant project work or publications (if any)
- Preferred thesis topic(s) from the list above
Contact: website@angermeir.me