Lehrstuhl für Angewandte Softwaretechnik
Chair for Applied Software Engineering

On this page you can find a list of open topics for bachelor's and master's theses as well as topics for guided research and IDP's. 
Please also check the Research Fields and the individual pages of the members of the scientific staff.  
For your thesis, we recommend to use our Latex template.

 

Master's Thesis
Smart Glove Extension
Advisor
Constantin Scheuermann
Author
---
Date
2016
Create and further develop a Smart Glove. We are currently evaluating new User Interacton concepts. Therefore, you have to extend or current Smart Textile and conduct a User Study. For details contact me via email.
Master’s Thesis / Guided Research
Empirical Development of Complex Systems
Advisor
Sebastian Klepper
Software that solves complex problems can’t be planned in advance because the solution (and often the problem itself) is largely unknown. This necessitates an empirical approach to continuous software engineering.
Using an evolutionary architecture and hypothesis-driven development, we will gradually build up a system that analyzes and generates textual content, e.g. using machine learning.
Prerequisites: Strong software engineering background and basic familiarity with continuous delivery, distributed systems, and machine learning (esp. natural language processing).
Master's Thesis
Scaling interactive in-class exercises with continuous integration in the cloud
Advisor
Stephan Krusche
There is an increasing demand for computer scientists in industry, in particular for software engineers. The growing number of students in computer science (CS) at TUM reflects this trend. There are courses with up to 1000 students that we teach. One challenge in courses with such a high number of participants is the increased effort for the preparation, conduction and correction of interactive in-class exercises. This Master's Thesis explores approaches using continuous integration and continuous delivery to automate interactive in-class exercises in the cloud to minimize the effort for exercise conduction and correction as far as possible. Build agents are scaled in the Amazon Elastic Compute Cloud (EC2) to provide immediate feedback to students after submitting their exercise solution, even if up to 1000 students submit the exercise at the same time. In a CASE study in the summer semester 2016, the results of this Master's Thesis are applied and evaluated.
Master's Thesis
MARBAS
Advisor
Constantin Scheuermann
Author
---
Date
2016
Mobile Augmented Reality based Annotation System - You will have to further develop our recently developed prototype. You will have to deal with Node.js, Point Clouds, MQTT. Depending on the progress we will conduct a user study to proove our concept. For details contact me via email.