Research Interest
With my interdisciplinary background in data/computer science and psychology, I am especially interested in understanding the vast variety of social and technical challenges that accompany the development of ML-enabled systems. Furthermore, I have a general interest in empirical methods and open and reusable research artifacts.
Thesis Supervision
I supervise Bachelor’s and Master’s thesis that thematically match my research interests. If you are interested in one of the open topics or have an idea that is not listed here, feel free to contact me!
Finished and ongoing theses
- [Bachelor] Evaluating the Impact of Large Language Models on Coding and Theme Development in Qualitative Research
- [Bachelor] Socio-Technical Challenges in Software Engineering
- [Bachelor] Fine-Tuning a Foundation Model for Qualitative Research
- [Bachelor] Managing Prompt Engineering Experiments: Tools and User’s needs
- [Bachelor] Qualitative Methods and Artifacts in Software Engineering Research
Publications
2024
- Alina Mailach and Norbert Siegmund. Socio-Technical Challenges and Recommendations for Mitigation when Building ML-enabled Systems. In Software Engineering 2024, pages 87-88. Gesellschaft für Informatik eV, 2024.
2023
- Alina Mailach and Norbert Siegmund. Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront. In Proceedings of the International Conference on Software Engineering (ICSE), pages 690–702. IEEE, May, 2023. Acceptance rate: 26% (209 / 796). DOI: 10.1109/ICSE48619.2023.00067
[preprint][artifacts][poster]
Talks
- SE 2024: Socio-Technical Challenges and Recommendations for Mitigation in Building ML-Enabled Systems (Feb 26- Mar 1, 2024, Linz, Austria)
- ICSE 2023: Socio-Technical Anti-Patterns in Building ML-Enabled Software (May 14-20, 2023, Melbourne, Australia)
- FOSD 2023: Towards Reproducible and Reusable Artifacts in Performance Learning Experiments (March 27-31, 2023, Ulm, Germany)