Proposed Master Theses
Enabling Client/Server Code Sharing
Advisers:
Sebastian Heil
Research Area:
Web Engineering
Tags:
distributed systems, webassembly
UI Metrics: The Impact of UI Object Detection Quality
Advisers:
Sebastian Heil, Martin Gaedke
Research Area:
Web Engineering
Tags:
object detection, visual analysis, deep learning, hci, ui/uix
Web Engineering - Quo vadis?
Advisers:
Sebastian Heil, Martin Gaedke
Research Area:
Web Engineering
Tags:
web scraping, NLP, data visualization
Measuring UI complexity through analysis of UI Tests
Advisers:
Sebastian Heil, Martin Gaedke
Research Area:
Web Engineering
Tags:
ui analysis, hci, ui/uix, ui test
Data Augmentation for Learning-based WUI Assessment Models
Advisers:
Sebastian Heil, Martin Gaedke
Research Area:
Web Engineering
Tags:
ui analysis, hci, ui/uix, ML, DL
A web-based Platform for Automatic Assessment of Web User Interfaces
Advisers:
Sebastian Heil, Martin Gaedke
Research Area:
Web Engineering
Tags:
ui analysis, hci, ui/uix, software architecture
Comparison of the effectiveness of tutorials in Graphical and Conversational User Interface
Advisers:
Verena Traubinger, Martin Gaedke
Research Area:
Web Engineering
Tags:
chatbots
A LLM-based approach for mining reproducibility information from scholarly publications
Advisers:
Sheeba Samuel, Martin Gaedke
Research Area:
Intelligent Information Management
Tags:
LLMs, ui/uix, reproducibility, DL
Knowledge Graph Engineering using Large Language Models
Advisers:
Sheeba Samuel, Martin Gaedke
Research Area:
Service Infrastructures
Tags:
Knowledge-Graphs, LLMs
A web-based solution for metatda management in Jupyter Notebooks
Advisers:
Sheeba Samuel, Martin Gaedke
Research Area:
Web Engineering
Tags:
data visualization, hci, Jupyter Notebooks, Knowledge-Graphs
A reproducibility service for extracting metadata from PubMedCentral
Advisers:
Sheeba Samuel
Research Area:
Web Engineering
Tags:
hci, metadata
We may also offer additional thesis topics, that are not yet listed on our website. If you are looking for an alternative topic and want to find an advisor, simply contact us via vsr-edu@informatik.tu-chemnitz.de 
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