Recommender Systems in Software Engineering
The increasing number of open-source projects and the easy applicability of different machine learning approaches started a new movement in the software engineering community. “Integrated Development Environments” (IDE) are no longer just simple build tools, they now understand the goal of the developer. Special recommender systems can actively support developers during their work.
In this seminar, we will investigate the current state in the research of recommender systems and their effects on modern software engineering. The seminar is a basic introduction to the topic. We are going to discuss several approaches and compare them. We will also have a critical view on cross-cutting concerns like the evaluation of such systems.
This is a discussion seminar with weekly meetings. In each meeting, we discuss a scientific article. The following weekly activities are required:
- reading a scientific article
- writing a short summary (max. 1 page)
- active participation in the discussion of the content
The focus of the seminar is the discussion. Therefore, the major part of the final grade is based on active participation.
Since we have so many participants, please print your summary and bring it to the meeting!
15.10. – Kick-off
19.11. – No Meeting
11.2. – Open discussion about all above papers. Pick an aspect from the papers or our discussions that you find particularly interesting, problematic, or important. Prepare to discuss that point (0.5-1 page essay): What is it? Why is it of interest? What's your opinion/idea about it?
- Course Type
Please register in TUCAN and also send an email to Sebastian Proksch. To ensure an interactive and productive seminar, we have to limit the number of participants to aprox. 15. Therefore, the kick-off meeting is obligatory.
15th October 2014, 15:20 - 17:00 in A313
Wednesdays, 15:20 - 17:00 in A313