About me

I'm a researcher with a strong background in software engineering. Since I love doing research with and for humans, my work is often at the intersection between psychology and empirical software engineering. In my current project, we even add neuroscience to the mix: we look into the brains of developers!
What else? I believe that research doesn't end with the publication of a paper and that research papers are not necessarily written for non-scientists. Therefore, I seek to empower researchers in my field to explore the possibilities of science communication. Oh, and I love sports, especially table tennis 🏓 and running 🏃.

Awards

I'm proud of a couple of awards that confirm that I not only enjoy what I do, but that good stuff usually comes out of it. In 2016, I won the Fujitsu Next Agile IT Award for my bachelor thesis on capturing and summarizing activities in a Scrum team. In 2020, we won the best paper award at the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) for the validation of a code comprehensibility metric that is already being used in practice through its integration with SonarQube. In 2022, I won three awards at the ACM/IEEE International Conference on Program Comprehension (ICPC): distinguished paper, distinguished reviewer, and best presentation award.

Selected publications

• Evidence Profiles for Validity Threats in Program Comprehension Experiments M. Muñoz Barón, M. Wyrich, D. Graziotin, S. Wagner•ICSE 2023
• Teaching Computer Science Students to Communicate Scientific Findings More Effectively M. Wyrich, S. Wagner•ICSE 2023
• The Mind Is a Powerful Place: How Showing Code Comprehensibility Metrics Influences Code Understanding M. Wyrich, A. Preikschat, D. Graziotin, S. Wagner•ICSE 2021
• Résumé-Driven Development: A Definition and Empirical Characterization J. Fritzsch, M. Wyrich, J. Bogner, S. Wagner•ICSE 2021
• Code Comprehension Confounders: A Study of Intelligence and Personality S. Wagner, M. Wyrich•IEEE TSE (2021)
• Anchoring Code Understandability Evaluations Through Task Descriptions M. Wyrich, L. Merz, D. Graziotin•ICPC 2022
• An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability M. Muñoz Barón, M. Wyrich, S. Wagner•ESEM 2020
• A theory on individual characteristics of successful coding challenge solvers M. Wyrich, D. Graziotin, S. Wagner•PeerJ CS (2019)

Find a list of all my publications on Google Scholar.