Empirical Methods in Software Engineering
Edition: 2026/2027 (1st ed.)
Last-Modified: 2026-09-03
note
Note
For academic year 2026/2027 this course will be provided only on demand, as a course based on self-study of provided material + office hours + project work. If you are interested in attending the course, please contact the course teachers to express your interest.
Teachers
- Stefano Zacchiroli, contact: email
- Théo Zimmermann, contact: email
Syllabus
- Introduction: empirical software engineering
- Research questions
- Scientific reproducibility
- Interviews and Surveys
- Mining Software Repositories (MSR)
- Controlled experiments
- Quantitative analysis and Visualization
- Qualitative analysis
- Threats to validity
- Tutorial: large-scale MSR with Software Heritage