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- Hans-Martin Heyn
Hans-Martin Heyn
Universitetslektor
Software Engineering 1 (SE1)Om Hans-Martin Heyn
Forskningsintressen: System arkitektur för fördelade system; sensor nätverk; fel diagnostik och funktionssäkerhet; systemkrav utveckling för AI; Bayesiansk statistik och beslutsfattning; Kausalitet.
Undervisa: LEU062 / EDA344 / DIT423: Datakommunikation, DAT/DIT 257: Agil projektledning, DAT550 / DIT978: Avancerad programvaruteknik för AI/ML-aktiverade system
Webbsida: martinheyn.github.io
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Identifying and managing data quality requirements: a design science study in the field of automated
driving
Shameer Kudran Pradhan, Hans-Martin Heyn, Eric Knauss
Software quality journal - 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 IEEE International Conference on Requirements Engineering - 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, Hakan Sivencrona, Polly Jing Li
REQUIREMENTS ENGINEERING - 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
Requirements Engineering - 2024 -
Methods for requirements engineering, verification, security, safety, and robustness in aiot
systems
Marcelo Pasin, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Hans-Martin Heyn, Eric Knauss, Anum Khurshid, Shahid Raza
Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications - 2023 -
A compositional approach to creating architecture frameworks with an application to distributed AI
systems
Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione
Journal of Systems and Software - 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
2nd International Conference on AI Engineering – Software Engineering for AI (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, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegard, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, Antonio 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, CF 2023 - 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
International Working Conference on 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
Requirements Engineering: Foundation for Software Quality 29th International Working Conference, REFSQ 2023 - 2023 -
The Secret to Better AI and Better Software (Is Requirements
Engineering)
N. Bencomo, J. L. C. Guo, R. Harrison, Hans-Martin Heyn, T. Menzies
IEEE Software - 2022 -
Structural Causal Models as Boundary Objects in AI System
Development
Hans-Martin Heyn, Eric Knauss
Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022 - 2022 -
Setting AI in context: A case study on defining the context and operational design domain for automated
driving
Hans-Martin Heyn, Padmini Subbiah, Lindner Jennifer, Eric Knauss, Olof Eriksson
Proc. of 28th Intl. Working Conf. on Requirements Engineering: Foundation for Software Quality - 2022 -
VEDLIoT: Very Efficient Deep Learning in
IoT
M. Kaiser, R. Griessl, N. Kucza, C. Haumann, L. Tigges, K. Mika, J. Hagemeyer, F. Porrmann, U. Ruckert, M. Vor Dem Berge, S. Krupop, M. Porrmann, M. Tassemeier, P. Trancoso, F. Qararyah, S. Zouzoula, A. Casimiro, A. Bessani, J. Cecilio, S. Andersson, O. Brunnegard, O. Eriksson, R. Weiss, F. McIerhofer, H. Salomonsson, E. Malekzadeh, D. Odman, A. Khurshid, P. Felber, M. Pasin, V. Schiavoni, J. Menetrey, K. Gugala, P. Zierhoffer, Eric Knauss, Hans-Martin Heyn
Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 - 2022 -
Requirement Engineering Challenges for AI-intense Systems
Development
Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Shameer Kudran Pradhan, Sagar Tungal
ICSE '21: Proceedings of the 1st Workshop on AI Engineering – Software Engineering for AI - 2021