Research
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)
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Automatic Trace Link Recovery (paper)
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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
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SPES Modeling Framework (paper)
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Feature Dependency Analysis (paper)
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Drivers and Hurdles of MBSE Adoption (paper)
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MBSE Adoption Strategies and Best Practices (paper)
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MBSE Maturity Model (paper)
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Decision Support for Process Maturity Improvement in MBSE (paper)
Data-Driven Systems Engineering
Improve SE by collecting and analyzing runtime data
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Integrate NL Requirements with System Executions (paper)
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Analyze Feature Usage based on Interaction Data (paper)
SE for Machine Learning
Adapt the SE process to the new challenges of ML
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Requirements Engineering for ML Applications (paper)