Our leading research objective:
Help engineers understand how software-intensive systems will behave in reality

We are actively doing reserach in the following areas

Requirements Engineering

Automate RE as far as possible

• Automatic Requirements Classification (paper)

• Automatic Trace Link Recovery (paper)

• Automatic Glossary Term Extraction (paper)

• Automatic Test Case Derivation from Natural Language Requirements (paper)
• Automatic Risk Prediction (paper)

Model-based Systems Engineering

Improve MBSE adoption in practice

• SPES Modeling Framework (paper)

• Feature Dependency Analysis (paper)

• Drivers and Hurdles of MBSE Adoption (paper)

• MBSE Adoption Strategies and Best Practices (paper)

• MBSE Maturity Model (paper)

• Decision Support for Process Maturity Improvement in MBSE (paper)

Data-Driven Systems Engineering

Improve SE by collecting and analyzing runtime data

• Integrate NL Requirements with System Executions (paper)

• Analyze Feature Usage based on Interaction Data (paper)

SE for Machine Learning

Adapt the SE process to the new challenges of ML

• Requirements Engineering for ML Applications (paper)