Documents of the Institute

• Master Theses
• Bachelor Theses

• Arnold, Daniel: Software Integration Testing for Autonomous Driving: Requirement Analysis, Challenges and Approaches, Master Thesis No. 62, 2024.
• Arora, Vidushi: Exploring real-world challenges in MLOps implementation: a case study approach to design effective data pipelines, Master Thesis No. 45, 2024.
• Ben Salha, Mohamed: Towards Enhancing Enterprise Knowledge Extraction from Confluence by using Retrieval-Augmented Generation, Master Thesis No. 85, 2024.
• Eraslan, Ibrahim: The Impact of AI on Job Insecurity Perceptions of Software Engineering Students, Master Thesis No. 3, 2024.
• Freiberger, Tamás Dávid: A gamified neural network learning application for PhD students, Master Thesis No. 81, 2024.
• Getz, Jakob: Wasm-R3 : creating executable benchmarks of WebAssembly binaries via record-reduce-replay, Master Thesis No. 8, 2024.
• Gröninger, Lars: Reasoning about Code Changes via Pairwise Learning-Guided Execution, Master Thesis No. 64, 2024.
• Gupta, Shubham: Enhancing Safety in Autonomous Vehicles: Realtime Dual Image Cropping Algorithm for Redundant Lane Detection, Master Thesis No. 41, 2024.
• Hutter, Franziska: Transformation of MechatronicUML Models to Matlab with Simulink and Stateflow for Simulating Autonomous Driving Functions, Master Thesis No. 59, 2024.
• Kamthe, Sheetal: Design and evaluation of an enhanced Large Language Models (LLM)-powered scientific paper discovery application, Master Thesis No. 43, 2024.
• Keller, Tessa Madleine: Analyzing student knowledge status, Master Thesis No. 88, 2024.
• Kenworthy, Samuel David: Evaluating the maintainability of variability concepts in cloud deployment technologies, Master Thesis No. 80, 2024.
• Mammen, Manasa Mariam: Evaluation of AI methods for scenario variation to support the validation of highly automated driving functions using real measurement data, Master Thesis No. 70, 2024.
• Merkel, Manuel: Shaping the future : the transformative potential of AI in computer science VET programs, Master Thesis No. 42, 2024.
• Panigrahi, Gopal Chitrasen: Usage of external data exchanged in Intelligent transport systems to ensure road safety in an automated vehicle, Master Thesis No. 4, 2024.
• Sakpal, Suraj: Application of fuzz testing for testing highly configurable systems, Master Thesis No. 40, 2024.
• Senger, Tobias: Enhancing automotive safety through an ADAS violation dashboard, Master Thesis No. 73, 2024.
• Verma, Ruben: Charging in the cloud : implementing a virtualized runtime environment for EVSE and EV interoperability testing, Master Thesis No. 94, 2024.
• Yang, Haoran: Task-Specific Instruction Tuning for Precise Generation of Driven Software Requirements with Large Language Models, Master Thesis No. 63, 2024.
• Yildirim, Fatih: Objective Evaluation of Voice Assistant Systems in Vehicles: Developing of a Benchmarking Test-Tool, Master Thesis No. 39, 2024.

• Ben Hassine, Skander El-Habib: Exploring File System Artifacts using Baseline Configuration, Bachelor Thesis No. 27, 2024.
• Elkin, Artem: Artificial Intelligence in Software Testing: A Study on the Integration and Impact of AI-Driven Tools in a Testing Process, Bachelor Thesis No. 57, 2024.
• Herrmann, Axel: Toolunterstütztes Refactoring von Microservices-Architekturen: Eine industrielle Fallstudie, Bachelor Thesis No. 6, 2024.
• Kästner, Max: Analyzing software architectures of open-source AI-based software, Bachelor Thesis No. 26, 2024.
• Reich, Samuel: Reference architectures for MLOps: a comparative case study, Bachelor Thesis No. 49, 2024.
• Rodi, Michael: Improving navigation for 2-wheelers via 3DMA GNSS of mobile phones, Bachelor Thesis No. 5, 2024.
• Stuby, Jannick: Applying machine learning techniques for improvingtest input generation in embedded fuzzers, Bachelor Thesis No. 5, 2024.
• Walter, Markus: AI-assisted authoring in the Software Engineering domain: an empirical study on using ChatGPT, Bachelor Thesis No. 25, 2024.