Modellierung und Regelung eines hydraulischen HIL-Simulators zum Test von Herzunterstützungssystemen / Modeling and Control of a Hydraulic Simulator for Ventricular Assist Device Testing. - Stefanie Heinke; Sebastian Schwandtner; Christian Costante; Hans-Martin Heyn; Christian Brendle; Steffen Leonhardt; Marian Walter (Autom., 2013)

Requirement Engineering Challenges for AI-intense Systems Development. - Hans-Martin Heyn; Eric Knauss; Amna Pir Muhammad; Olof Eriksson; Jennifer Linder; Padmini Subbiah; Shameer Kumar Pradhan; Sagar Tungal (WAIN@ICSE, 2021)

Structural causal models as boundary objects in AI system development. - Hans-Martin Heyn; Eric Knauss (CAIN, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (DATE, 2022)

AIRE 2022: 9th International Workshop on Artificial Intelligence and Requirements Engineering. - Alessio Ferrari 001; Hans-Martin Heyn; Mehrdad Sabetzadeh (RE Workshops, 2022)

Setting AI in Context: A Case Study on Defining the Context and Operational Design Domain for Automated Driving. - Hans-Martin Heyn; Padmini Subbiah; Jennifer Linder; Eric Knauss; Olof Eriksson (REFSQ, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (CoRR, 2022)

The Secret to Better AI and Better Software (Is Requirements Engineering). - Nelly Bencomo; Jin L. C. Guo; Rachel Harrison; Hans-Martin Heyn; Tim Menzies (IEEE Softw., 2022)

Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. - Hans-Martin Heyn; Khan Mohammad Habibullah; Eric Knauss; Jennifer Horkoff; Markus Borg; Alessia Knauss; Polly Jing Li (CAIN, 2023)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Requirements Engineering for Automotive Perception Systems: An Interview Study. - Khan Mohammad Habibullah; Hans-Martin Heyn; Gregory Gay 002; Jennifer Horkoff; Eric Knauss; Markus Borg; Alessia Knauss; Håkan Sivencrona; Polly Jing Li (REFSQ, 2023)

An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications. - Hans-Martin Heyn; Eric Knauss; Iswarya Malleswaran; Shruthi Dinakaran (REFSQ, 2023)

A compositional approach to creating architecture frameworks with an application to distributed AI systems. - Hans-Martin Heyn; Eric Knauss; Patrizio Pelliccione (J. Syst. Softw., 2023)

Automated Configuration Synthesis for Machine Learning Models: A Git-Based Requirement and Architecture Management System. - Abdullatif AlShriaf; Hans-Martin Heyn; Eric Knauss (RE, 2024)

Requirements and software engineering for automotive perception systems: an interview study. - Khan Mohammad Habibullah; Hans-Martin Heyn; Gregory Gay 002; Jennifer Horkoff; Eric Knauss; Markus Borg; Alessia Knauss; Håkan Sivencrona; Polly Jing Li (Requir. Eng., 2024)

An empirical investigation of challenges of specifying training data and runtime monitors for critical software with machine learning and their relation to architectural decisions. - Hans-Martin Heyn; Eric Knauss; Iswarya Malleswaran; Shruthi Dinakaran (Requir. Eng., 2024)

Identifying and managing data quality requirements: a design science study in the field of automated driving. - Shameer Kumar Pradhan; Hans-Martin Heyn; Eric Knauss (Softw. Qual. J., 2024)

Requirements Representations in Machine Learning-Based Automotive Perception Systems Development for Multi-party Collaboration. - Hina Saeeda; Zuzana Rohacova; Oskar Jakobsson; Hans-Martin Heyn; Eric Knauss; Alessia Knauss; Jennifer Horkoff (REFSQ, 2025)

Causal Models in Requirement Specifications for Machine Learning: A vision. - Hans-Martin Heyn; Yufei Mao; Roland Weiß; Eric Knauss (SIGSOFT FSE Companion, 2025)

Causal Models in Requirement Specifications for Machine Learning: A vision. - Hans-Martin Heyn; Yufei Mao; Roland Weiss; Eric Knauss (CoRR, 2025)