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
- 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"
- 2023/01, 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"