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Documents of the Institute
Master Theses- Arora, Vidushi: Exploring real-world challenges in MLOps implementation: a case study approach to design effective data pipelines, Master Thesis No. 45, 2024.
- Eraslan, Ibrahim: The Impact of AI on Job Insecurity Perceptions of Software Engineering Students, Master Thesis No. 3, 2024.
- Getz, Jakob: Wasm-R3 : creating executable benchmarks of WebAssembly binaries via record-reduce-replay, Master Thesis No. 8, 2024.
- Gupta, Shubham: Enhancing Safety in Autonomous Vehicles: Realtime Dual Image Cropping Algorithm for Redundant Lane Detection, Master Thesis No. 41, 2024.
- Kamthe, Sheetal: Design and evaluation of an enhanced Large Language Models (LLM)-powered scientific paper discovery application, Master Thesis No. 43, 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.
- Yildirim, Fatih: Objective Evaluation of Voice Assistant Systems in Vehicles: Developing of a Benchmarking Test-Tool, Master Thesis No. 39, 2024.
Bachelor Theses- Ben Hassine, Skander El-Habib: Exploring File System Artifacts using Baseline Configuration, Bachelor Thesis No. 27, 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.
- 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.
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