Since 1998, we have carried out numerous research projects on various topics in software engineering in collaboration with our industry partners. These projects have provided many doctoral students with the opportunity to validate research findings and gain experience in industrial software development. We would like to thank our cooperation partners for this opportunity (in alphabetical order): ABB Coproate Research, Amadeus, apoBank, BMW, Generali Informatik Services, Itergo, IVU Traffic Technologies, Kisters, Osthus, Supr@Wirecard
Major joint research projects
- Software product line engineering for embedded devices
- Model-based representation and calculation of life cycles and life cycle costs of control systems
- Simulation-based modeling & validation of requirements and architecture models
- Testing and use of DevOps-promoting SE methods
- Procedures for scalable data production
- Conception of a cross-organizational DevOps approach
- Metrics for the evaluation and monitoring of SW development projects
- Metrics-based process and project management
- Model-based architecture evolution
- Design of a systematic and automatable test approach for large heterogeneous applications
- Test data generation in the Generali Group
- Engineering of legacy systems
- Target-based process improvement in a multi-model context
- Architecture Roundtrip Management
- Enterprise Architecture Debt Management
- Effective configuration and infrastructure management in the context of continuous delivery
- Adaptation and testing of DevOps approaches in the context of a software production line
- Automation of test processes in distributed application landscapes
- Software architecture transformation and evolution
- Development of processes for the development of platforms and customer-specific products
- Software development infrastructures and technologies
- Architecture-oriented distributed multi-product development processes
- Design and development of an integration test environment
- Design and development of a continuous integration & delivery approach using modular deployment pipelines
- Development and testing of BigData and SE technologies for ML applications
- Conception of a scalable architecture for flexibility management