Software Engineering Group

Software Engineering

Gruppenarbeit in Unterrichtsraum mit Laptop und Bildschirm

The Software Engineering department of the Faculty of Computer Science develops and coordinates the teaching programme and research activities in the field of software engineering.
The group's interests and research focuses include the areas of software quality, software development and software modelling.

Lectures

In addition to the compulsory Bachelor's courses Object-Oriented Analysis and Design and Software Engineering, the members of the department offer various (core elective) courses in the Bachelor's and Master's degree programmes of the department and other faculties

Bachelor

Software engineering in industrial practice
Fundamentals of quality management
Component-orientated software development
Professional testing

Master Computer Science

Software Architecture
Software Product Line Engineering
Quality Management
Requirements Engineering and Management
Integration Architectures and Technologies

Laboratories and infrastructure

The courses in Software Engineering take place mainly in the SE laboratory in D15 00.04.

Specialist group spokesperson

Prof. Dr. Michael Müller

Software Engineering Section

Dr Michael Müller obtained his doctorate in 2006 at TU Darmstadt in the field of numerical methods and computer science in civil engineering....

After gaining initial experience in IT consulting, he held various management positions at BridgingIT from 2008 to 2018.

From 2018 to 2025, he worked as a chief consultant and agility master at DB Systel GmbH, where he established and strategically developed an organisational unit with over 100 employees. His expertise includes agile software development, IT and software architecture, DevOps practices and digital leadership.

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Contact and members

Andreas Behr

Laboringenieur(in)
Software Engineering

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Prof. Dr. Frank Bühler

Advanced Software Engineering

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Prof. Dr. Alexander del Pino

Software quality management and programming procedures

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Prof. Dr. Martin Girschick

Software engineering with a focus on low-code, model-based and AI-based development.

2010 Doctorate in Computer Science at TU Darmstadt 2008 to 2024 Software architect at consulting firm Capgemini 2011 to 2016 Guest lecturer in...

the Department of Computer Science at TU Darmstadt 2022 to 2024 Acting professor at Darmstadt University of Applied Sciences, Software Engineering Group Since October 2024 Professor of Software Engineering at Darmstadt University of Applied Sciences

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Prof. Dr. Ralf Hahn

Software engineering, software product lines

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Lukas Köhler

Software Engineering

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Prof. Dr. Michael Müller

Software Engineering Section

Dr Michael Müller obtained his doctorate in 2006 at TU Darmstadt in the field of numerical methods and computer science in civil engineering....

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Prof. Dr. Kai Renz

Kai Renz is a professor of software engineering in the Department of Computer Science at Darmstadt University of Applied Sciences. His main area...

of expertise is agile development. In his lectures and practical courses, he uses and researches SCRUM, KANBAN and Extreme Programming (XP).

Since January 2018, Kai Renz has also been head of the Steinbeis Transfer Centre for Agile Software Engineering. In June 2019, Prof. Renz was awarded the Teaching Prize (2nd prize) by Darmstadt University of Applied Sciences. Kai Renz has also been a certified SCRUM Master since 2022.

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Prof. Dr. Stefan T. Ruehl

Dean

Software Engineering

Software EngiNERD and Professor

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Prof. Dr. Markus Voß

Software Engineering

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Prof. Dr. Marcus Zinn

Prof. Dr. Marcus has been Professor of Software Engineering at Darmstadt University of Applied Sciences since 2025. Prior to this, he worked in...

industry for many years, including at Schneider Electric as Innovation and Patent Manager with a focus on AI, mobile solutions and software development. In addition to his teaching activities, he heads an interdisciplinary research project to set up a digital apiary – a real-world laboratory with a digital twin that links ecological data with modern sensor technology and AI. The apiary is available to students and researchers from all disciplines and promotes sustainability, data science and systemic thinking.

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