This image shows Marvin Muñoz Barón

Marvin Muñoz Barón

Teaching and Research Assistant, Doctoral Candidate
ISTE - Institute of Software Engineering
ESE - Empirical Software Engineering


Universitätsstraße 38
70569 Stuttgart
Room: 1.020

Office Hours

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.


  • AI-Assisted Software Engineering – 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 designing courses for teaching artificial intelligence in German vocational training through the KI B³ project.
  • Muñoz Barón, Marvin, Marvin Wyrich, Daniel Graziotin, and Stefan Wagner. “Evidence Profiles for Validity Threats in Program Comprehension Experiments.” To be published in Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE). 2023. Preprint
  • Muñoz Barón, Marvin. Validating the threats to validity in program comprehension experiments. MS thesis. 2022. Link
  • Muñoz Barón, Marvin, Marvin Wyrich, and Stefan Wagner. “An empirical validation of cognitive complexity as a measure of source code understandability.” Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). 2020. Link
  • Muñoz Barón, Marvin. A validation of cognitive complexity as a measure of source code understandability. BS thesis. 2019. Link

You can also find my publications on Google Scholar.

Supervised Works and Projects
  • 2023 WiSe: Master Thesis: The Impact of AI on Job Insecurity Perceptions of Software Engineering Students
  • 2023 SoSe: Bachelor-Forschungsprojekt: Evaluating the Impact of Prompt Engineering on the Quality of AI-Generated Code
  • 2023 SoSe: Studienprojekt Softwaretechnik: DermaScan - A mobile application for documenting medicinal data on skin conditions with automated AI classification.
Lectures, Exercises, and Seminars
  • 2023 WiSe: Human Factors in AI (HFAI), B.Sc. Seminar
  • 2023 WiSe: Programmentwicklung II (PE II), B.Sc. lecture
  • 2023 SoSe: Einführung in die Softwaretechnik/das Software Engineering (EST/ESE) Übung, B.Sc. lecture
  • 2022 WiSe: Programmentwicklung II (PE II), B.Sc. lecture
  • 2022 - Now: PhD Student 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.
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