Dissertations at the Chair for Software & Systems Engineering
- Carmen Cârlan: Checkable Safety Arguments – A Modeling Framework Supporting the Maintenance of Safety Arguments Consistent with System Development Artifacts, 2025
Committee: AP, Barbara Gallina, Mario Trapp- Thomas Hutzelmann: A Holistic Methodology for Quality Assessment of Intrusion Detection Systems, 2024
Committee: AP, Felix Freiling, Florian Matthes- Valentin Zieglmeier: Designing People Analytics for Data Sovereigns, 2024
Committee: AP, Thomas Hess, Jens Grossklags, Georg Groh- Patrick Stöckle: A Holistic Approach for Security Configuration, 2024
Committe: AP, Jürgen Cito, Georg Carle- Daniel Elsner: Integrating System and Process Characteristics into Regression Test Optimization, 2023
Committee: AP, Yves LeTraon, Darko Marinov, Thomas Neumann- Tabea Schmidt: Testing the Safe Behavior of Unmanned Aerial Vehicles with Scenario-Based Testing, 2023
Committee: AP, Stefan Leutenegger, Jörg Ott- Ana Petrovska: On Engineering Self-Adaptive Cyber-Physical Systems, 2023
Committee: AP, Raffaela Mirandola, Matthias Grabmair- Markus Schnappinger: On Machine Learning Assisted Software Maintainability Assessments, 2023
Committee: AP, Foutse Khomh, Pramod Bhatotia- Johannes Eder: Automatic Exploration of Automotive E/E Architectures, 2022
Committee: AP, Bernhard Rumpe, Florian Matthes- Severin Kacianka: Accountability for Cyber-Physical Systems, 2022
Committee: AP, Stefan Leue, Gudrun Klinker- Jürgen Dürrwang: Steigerung der Betriebssicherheit von Personenkraftwagen durch Bedrohungsanalysen für die Informationssicherheit, 2022
Committee: AP, Reiner Kriesten, Claudia Eckert- Florian Hauer: On Scenario-Based Testing of Automated and Autonomous Driving Systems, 2021
Committee: AP, Markus Lienkamp, Matthias Althoff- Mohsen Ahmadvand: Strengthened, Composable, and Quantifiable Software Integrity Protection, 2021
Committee: AP, Bjorn de Sutter, Georg Carle- Amjad Ibrahim: An Actual Causality Framework for Accountable Systems, 2021
Committee: AP, Joe Halpern, Helmut Seidl- Alei Salem: Accurate and Reliable Labeling for Effective Detection of Android Malware, 2021
Committee: AP, Lorenzo Cavallaro, Jens Grossklags- Alexander Fromm: Enhancing Data Flow Tracking for Data Usage Control, 2020
Committee: AP, Stefan Tai, Florian Matthes- Mojdeh Golagha: A Framework for Failure Diagnosis, 2020
Committee: AP, Lionel Briand, Thomas Neumann- Saahil Ognawala: Scalable Greybox Fuzzing for Effective Vulnerability Management, 2020
Committee: AP, Cristian Cadar, Tobias Nipkow- Christoph Bier: Implementation of the data protection right of access based on usage control and data provenance technology, 2017
Committee: AP, Indra Spiecker, Jürgen Beyerer, Uwe Baumgarten- Sebastian Banescu: Characterizing the Strength of Software Obfuscation Against Automated Attacks, 2017
Committee: AP, Saumya Debray, Alfons Kemper- Florian Kelbert: Data Usage Control for Distributed Systems, 2016
Committee: AP, Stefan Katzenbeisser, Georg Carle- Dominik Holling: Defect-based Quality Assurance with Defect Models, 2016
Committee: AP, Lionel Briand, Bernd Brügge- Tobias Wüchner: Behavior-based Malware Detection with Quantitative Data Flow Analysis, 2016
Committee: AP, Felix Freiling, Claudia Eckert- Matthias Büchler: Semi-Automatic Security Testing of Web Applications with Fault Models and Properties, 2015
Committee: AP, Rob Hierons, Tobias Nipkow- Prachi Kumari: Model-Based Policy Derivation for Usage Control, 2015
Committee: AP, Naranker Dulay, Uwe Baumgarten- Enrico Lovat: Cross-layer Data-centric Usage Control, 2015
Committee: AP, Frank Piessens, Helmut Seidl