Finished theses

If you look for a topic / Wenn Sie nach einem Thema suchen

The general information about thesis topics and becoming a thesis student can be found on the upper-level page.

Die generellen Informationen zu den Themen und Vergabe der Abschlussarbeiten finden Sie auf der übergeordneten Seite.

Finished Theses / Abgeschlossene Abschlussarbeiten

2026/01, MSc, Chuhao Su: “From Natural Language to Robotic Actions: Vision-Guided Behavior Planning with LLMs”
2026/01, BSc, Hendrik Lohmar: “Comparison of LoRA and Knowledge Editing for Improving Neural Decompilation”
2025/12, MSc, Fabian Kontor: “Automated Reward Design and Control of a Simulated AR4 Robot”
2025/12, MSc, Denis Münch: “Transformer Interpretability Toolbox”
2025/09, MSc, Svea Mahlke: “Advancements in Code-to-Code Translation: Reduce dependency errors in large code translation by updating the model with direct knowledge editing”
2025/05, BSc, Eric Benz: “LM-Debugger++: A Unified Framework for Inspection and Intervention in Transformers”
2025/05, MSc, Janik Schmid: “Evaluate Knowledge Editing and Code to Code Translation for alternative Transformer Models”
2025/03, BSc, Samuel Innes: “Investigating the Impact of Data Abstraction on Out-of-Domain Compositional Generalisation in Transformers“
2025/02, MSc, Daniel Reichler: “Extending and Optimizing the Automated Search for Efficient Transformer Architectures”
2024/12, MSc, Akin Yilmaz: “Reverse Engineering Binaries using Transformers”
2024/12, MSc, Soumili Samanta: “Personalised Teaching Assistant for RUST Programming Using LLM”
2024/09, MSc, Niklas Loeser: “Interrupt-Guided Neural Code Completion with Static Analysis of Dependencies”
2024/07, MSc, Erik Imgrund: “Locating and Editing Knowledge in large Transformer Models for Code Generation”
2024/04, MSc, Andre Trump: “Enhanced Methods for Defining, Processing, and Generating Syntax Tree Patterns for Virtual Domain-Specific Language”
2024/03, MSc, Alexander Goebel: “ Personalisierter und unterstützender Lernassistent für Java in der Schule durch Gebrauch eines großen Sprachmodells”
2024/02, BSc, Thomas Gantz: „Juristische Gutachten durch LLM-Metastrategien Prompten“
2023/10, MSc, Benjamin Richard Sparks: “Advanced Multidimensional Type Inference for Python”
2023/10, BSc, Ingmar Lowack: “Low- and No-Code Generation of Business Web Applications”
2023/10, MSc, Robin Mader: “Generating React code from machine-readable specifications”
2023/10, BSc, Frederick Vandermoeten: “PandaRec - A Recipe-Based Recommendation System for the Pandas Library”
2023/09, BSc, Daniela Fichiu: “Chunking with Dynamic Sparse Distributed Memory, Hyperdimensional Computing, and Transformer Attention”
2023/09, MSc, Oliver Wenz: “From Tabular Data to Python Code: A Low Code Approach to Data Manipulation”
2023/09, BSc, Simon Körner: “Making a program synthesizer learn from output-corrections”
2023/08, MSc, Christoph Rindchen: “Automated Search for Efficient Transformer Architectures”
2023/01, BSc, Samuel Melm: “Unifying Regular Expressions with a Domain Specific Language”
2023/01, BSc, Julian Stefan Bischoff: “Learning a language by conversations with Amazon Alexa”
2022/11, BSc, Egor Svezhintsev: “Inferring DSL-to-code translation rule sets from examples”
2022/10, BSc, Sonasha Auer Wilkins: “Natural Language Guided Code Generation for Data Processing Tasks”
2022/10, MSc, Miguel Heidegger: “Analysis and Optimization of Unsupervised Code-to-Code Translation”
2022/09, BSc, David Schwenke: “Data Efficient Semantic Parsing for Spreadsheet Queries using Decomposition”
2022/06, MSc, Niklas Korz: “Projectional Editing of Internal Domain-Specific Languages”
2022/05, BSc, Marcos Carbonell: “Translation of Programming Languages Using Reinforcement Learning”
2022/01, BSc, Julien Binsch: “Parameter Recommendation for Domain-Specific Languages”
2022/01, MSc, Jens Müller: “Programming by Example as Inverse Problem”
2021/10, BSc, Florian Rauls: “Design and Implementation of a Domain-Specific Language with Nim for General Purpose Office Automation”
2021/09, BSc, Lennart Stöpler:“Accelerating Code Synthesis”
2021/09, MSc, Christopher Klammt: “Adaptive Language Interface for Spreadsheet Manipulations”
2021/08, MSc, Kevin Kiefer: “Applying neural networks to classical code synthesis challenges”
2021/07, BSc, Max Edinger: “DSLs for Workflow Configuration”
2021/06, BSc, Tim Waibel: “Improving a Tool for Using Domain Specific Languages (NLDSL)”
2021/06, BSc, Gabriel Rashidi: “Code Token Type Taxonomy for Transformer-Based Code Completion”
2021/04, BSc, Pascal Memmesheimer: “Combining Neural and Probabilistic Models for Code Recommendation”
2021/03, BSc, Djime Momar Jr Gueye: “Graph Based Code Editor for Data Analysis”
2020/12, MSc, Xin Sun: “Natural Language Interface for Efficient Programming in Data Science”
2020/12, BSc, Robin Mader: “Python code recommendations from natural language using semantic parsing”
2020/11, BSc, Dennis Pfleger: “Building a wizard to support developers in generating new DSLs using the NLDSL framework”
2020/11, MSc, Enrico Kaack: “Automated Checking of Clean Code Guidelines for Python”
2020/09, MSc, Oliver Mautschke: “Code Synthesis with Natural Language”
2020/08, MSc, Oleg Pavlov: “Code-Vervollständigung anhand von multimodalen Eingaben bei der Datenanalyse”
2020/07, BSc, Johannes Vogt: “Code Generation for Data Visualizations using Semantic Parsing”
2020/07, MSc, Narasimha Abhinav Koganti: “Program Synthesis for Mainstream Programming Languages”
2020/06, MSc, Tim Adamek: “Data-based Code Recommendations”
2020/06, BSc, Fabian Schenk: “NLDSL-Erweiterung: Erstellung eines Wizards zur Unterstützung der automatischen Definition von DSLs“
2020/05, BSc, Nils Böhringer: “Javascript Code Generation from a Domain Specific Language”
2020/05, BSc, Patrick Weber: “Enhancing IDE Support for DSL Programming”
2020/05, MSc, Rudolf Chrispens: “Intelligent bot assistant for high-performance data analysis”
2020/02, BSc, Robin Steube: “Entwicklung eines Plugins zur visuellen Unterstützung bei der Entwicklung mit Pandas-Frames”
2019/12, MSc, Claudia Dünkel: “Generating Syntactic Macros in Python using Program Synthesis”
2019/11, MSc, Pavel Hauck: “The evaluation and extension of scalable fault isolation technique”
2019/09, BSc, Max Eric Henry Schumacher: “Combining Deep Learning and Probabilistic Models for Intelligent Code Completion in Dynamically Typed Languages”
2019/09, BSc, Oliver Schmitt: “Development of a Code Fragment Recommender System using the Language Server Protocol in the Context of Data Analysis with Python”
2019/08, BSc, Oliver Wenz: “An IDE-Supported DSL for Data Science”
2019/07, MSc, Mehmet Ates: “NQL: A Near-Natural Language for Querying Databases by End-Users”
2019/07, MSc, Dustin Heckmann: “An Analysis of Flaky Tests in SAP HANA”
2019/07, BSc, Kevin Kiefer: “Neue Methoden zur Datenextraktion”
2019/07, MSc, Thorsten Bernhard Wünsche: “Static Analysis of Higher-Order Merge Conflicts in Large Software Development Projects”
2019/06, BSc, Paul Harris: “Building a domain specific language to simplify work with high-performance C++ code”
2019/05, MSc, Halil Bugdayci: “Visual Programming Paradigms with Applications for Data Science”
2019/04, MSc, Sebastian Merker: “Intelligente Erkennung und Korrektur von Fehlern in Nachrichten von Enterprise Messaging Systemen”
2018/07, BSc, Magnus Bieneck: “Automated Detection of Flaky Tests”