Hans-Martin Heyn

According to our database, Hans-Martin Heyn authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 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., March, 2024

Requirements and software engineering for automotive perception systems: an interview study.

Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay, Jennifer Horkoff, Eric Knauss, Markus Borg, Alessia Knauss, Håkan Sivencrona, Polly Jing Li

Requir. Eng., March, 2024

Automated Configuration Synthesis for Machine Learning Models: A Git-Based Requirement and Architecture Management System.

Abdullatif AlShriaf, Hans-Martin Heyn, Eric Knauss

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

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., April, 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

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2023

Requirements Engineering for Automotive Perception Systems: An Interview Study.

Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay, Jennifer Horkoff, Eric Knauss, Markus Borg, Alessia Knauss, Håkan Sivencrona, Polly Jing Li

Proceedings of the Requirements Engineering: Foundation for Software Quality, 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, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegård, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, António Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhöfer

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

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

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

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

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, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

CoRR, 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

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2022

AIRE 2022: 9th International Workshop on Artificial Intelligence and Requirements Engineering.

Alessio Ferrari, Hans-Martin Heyn, Mehrdad Sabetzadeh

Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 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, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Structural causal models as boundary objects in AI system development.

Hans-Martin Heyn, Eric Knauss

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

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

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

2013

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