fortiss wissenschaftliche Publikationen

Wissenschaftliche Publikationen

Veröffentlichungen, Zeitschriftenaufsätze und Broschüren mit Ergebnissen aus dem Institut

Wissenschaftliche Publikationen

Stichworte: MbSE

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2025

  • Juni 2025 An ISO 26262-Derived Evaluation Methodology for Automated Fault Injection Test Case Generators Nina Benkendorf , Carolin Ganahl und Tiziano Munaro In Proceedings of the 2025 IEEE Intelligent Vehicles Symposium (IV) (To Appear), Juni 2025. Details BIB
  • Mai 2025 A Case Study on the Application of Digital Twins for Enhancing CPS Operations Irina Muntean , Mirgita Frasheri und Tiziano Munaro In Proceedings of the First International Workshop on Autonomous System Quality Assurance and Prediction with Digital Twins (ASQAP) (To Appear), Mai 2025. Details BIB
  • 2025 Model-Based Systems Engineering with the SPES Modeling Language: Challenges – The Industrial View Sebastian Bergemann und Walter Koch GfSE Verlag, 2025. Details URL BIB
  • 2025 Model-Based Systems Engineering with the SPES Modeling Language: Usage of the Language Constructs in the SPES Methodology Andreas Bayha , Sebastian Bergemann , Wolfgang Böhm , Jan Philipps , Andreas Vogelsang und Sebastian Voss GfSE Verlag, 2025. Details URL BIB

2024

  • November 2024 Loss-Driven Systems Engineering und die Tragödie vieler "-ilities" Thomas Krynicki , Cornelia Ernst , Simon Barner und Tobias Emig In Tag des Systems Engineering 2024, Seiten 3–11, November 2024. GfSE Verlag. Details BIB
  • September 2024 A Failure Model Library for Simulation-based Validation of Functional Safety Tiziano Munaro , Irina Muntean und Alexander Pretschner In Proceedings of the 43rd International Conference on Computer Safety, Reliability and Security (SAFECOMP), Band 14988 von Lecture Notes in Computer Science, September 2024. Springer, Cham. Details DOI BIB
  • September 2024 Mitigating Conflicts in Architectural Design Decisions for Evolving Manufacturing Systems: Evaluation and Recommendations for Practitioners Tarik Terzimehić und Alois Zoitl In 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova, Italy, September 2024. IEEE. Details BIB
  • September 2024 Modular Consistency Checking Between Heterogeneous Models Without Direct Data Exchange Between Collaborators Sebastian Bergemann und Nina Benkendorf In ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS Companion ’24), September 2024. ACM. Details DOI BIB
  • September 2024 Towards the Estimation of Quality Attributes on System Model Histories Konstantin Rupert Blaschke und Simon Barner In ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS Companion '24), September 2024. ACM. Details DOI BIB
  • August 2024 Generic Analysis of Model Product Lines via Constraint Lifting Andreas Bayha und Vincent Aravantinos arXiv:2008.11427 [cs.SE], August 2024. Details DOI BIB
  • August 2024 Multidimensional Design Space Exploration for Evolving Manufacturing Systems: Interplay of Deployment, Topology, and Production Planning Architectural Decisions Tarik Terzimehić , Daniel Erler und Alois Zoitl IEEE Transactions on Industrial Informatics, (Early Access):1-12, August 2024. Details DOI BIB
  • Mai 2024 A Model-Based Systems Engineering Plugin for Cloud Security Architecture Design Yuri Gil Dantas , Vivek Nigam und Ulrich Schöpp SN Computer Science, 5(5):, Mai 2024. Details DOI BIB
  • April 2024 OpenSBT: A Modular Framework for Search-based Testing of Automated Driving Systems Lev Sorokin , Tiziano Munaro , Safin Damir , Brian Hsuan-Cheng Liao und Adam Molin , April 2024. Details URL DOI BIB
  • April 2024 Automated Model Quality Estimation and Change Impact Analysis on Model Histories Konstantin Rupert Blaschke In IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion ’24), Seiten 153–155, New York, NY, USA, April 2024. ACM. Details DOI BIB
  • 2024 Schlüssel zur erfolgreichen Digitalisierung in Industrie 4.0 – Entwicklung, Implementierung und Nutzen digitaler Zwillinge Sönke Knoch , Dirk Schöttke und Andreas Bayha Industry 4.0 Science, 40(4):40–45, 2024. Details BIB

2023