Master Thesis or Guided Research (Informatics)

Automatically Detecting Flaky Tests in CI

21.12.2024, Diplomarbeiten, Bachelor- und Masterarbeiten

This thesis aims to develop a data-driven approach to distinguish between flaky and non-flaky failures in CI. You will derive relevant features from existing literature, evaluate them using a CI and VCS dataset, and develop and evaluate a practical and usable approach. More information.

Prerequisites:
- Fundamental understanding of CI and VCS
- Proficient knowledge of Python
- Solid foundation in data science principles
- Basic understanding of machine learning

Kontakt: fabian.leinen@tum.de