Marvin Muñoz Barón, M. Sc.

E-Mail: marvin.munoz-baron@tum.de
Office: Bildungscampus 2, D.4.14
Contact
The best way to contact me is via e-mail. Message me, and we can set up a virtual or in-person meeting. You may contact me in English or German.
Research Topic
- AI-Assisted Software Engineering (AI4SE) - My PhD topic lies in the intersection between artificial intelligence (AI), software engineering (SE) and human aspects research. Specifically, I'm exploring how we can foster a trusting collaboration between software engineers and AI tools, with a primary focus on generative AI models such as GPT (Generative Pre-trained Transformer). This includes the interaction and collaboration with, and the impact of AI on the software engineering process. Ultimately, I hope to uncover frameworks to improve the interaction and the design of AI tools in a long-term, sustainable way, beyond the short-term hype.
- Human-centered AI - In the broader context of AI, I am generally interested in how AI influences humans and, conversely, how humans influence AI. Human factors play a significant role in the design, implementation, and adoption of AI-based software and should therefore be at the heart of discussions about AI.
- I am also involved in improving German vocational training through AI in the InnoVET Plus MEKI project.
Teaching
Lectures, Exercises, and Seminars
- 2024 Winter: Seminar: Artificial Intelligence for Software Engineering
- 2024 Summer: Tutorial: Advanced Software Testing and Analysis
- 2024 Summer: Seminar: Software Engineering for AI-based Systems
CV
- 2024 - Now: Research Assistant and Doctoral Candidate at the Chair of Software Engineering at Technical University of Munich Campus Heilbronn.
- 2022 - 2024: Research Assistant and Doctoral Candidate at the Empirical Software Engineering Group at the University of Stuttgart.
- 2022 (6 months): Software developer (working student) at Robert Bosch GmbH in the Cross-Domain Computing Solutions division.
- 2019 - 2022: M.Sc. in Software Engineering (Softwaretechnik) at the University of Stuttgart.
- 2015 - 2019: B.Sc. in Software Engineering (Softwaretechnik) at the University of Stuttgart.
Publications
- Zhenhan Gao, Marvin Muñoz Barón, Umm-e Habiba, Daniel Graziotin, and Stefan Wagner. 2026. Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review. To be published in Proceedings of the ACM on Software Engineering (PACMSE), Vol. 3, No. ISSTA, Article ISSTA093 (ISSTA 2026). Preprint | 🏆 DISTINGUISHED PAPER AWARD at ISSTA 2026
- Sebastian Baltes, Florian Angermeir, Chetan Arora, Marvin Muñoz Barón, Chunyang Chen, Lukas Böhme, Fabio Calefato, Neil Ernst, Davide Falessi, Brian Fitzgerald, Davide Fucci, Junda He, Christoph Treude, Marcos Kalinowski, Stefano Lambiase, Daniel Russo, Mircea Lungu, Cristina Martinez Montes, Lutz Prechelt, Paul Ralph, Rijnard van Tonder, and Stefan Wagner. 2026. Guidelines for Empirical Studies in Software Engineering involving Large Language Models. Preprint
- Stefan Wagner, Marvin Muñoz Barón, Davide Falessi, and Sebastian Baltes. 2025. Towards Evaluation Guidelines for Empirical Studies Involving LLMs. In 2025 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE). DOI | Preprint
- Marvin Muñoz Barón. 2025. Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering. In 2025 IEEE/ACM 4th International Conference on AI Engineering – Software Engineering for AI (CAIN). DOI
- Marvin Wyrich, Marvin Muñoz Barón, and Justus Bogner. 2024. Apples, Oranges, and Software Engineering: Study Selection Challenges for Secondary Research on Latent Variables. In Proceedings of the 1st IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE '24). DOI | Preprint
- Marvin Muñoz Barón, Marvin Wyrich, Daniel Graziotin, and Stefan Wagner. 2023. Evidence Profiles for Validity Threats in Program Comprehension Experiments. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). DOI | Preprint
- Marvin Muñoz Barón, Marvin Wyrich, and Stefan Wagner. 2020. An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability. In Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (ESEM '20). DOI | Preprint | 🏆 BEST FULL PAPER AWARD at ESEM 2020
Other Research Activity
- Member of the Organizing Committee (Proceedings Chair). 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026).
- Member of the Organizing Committee (Web Chair). 17th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2024).