Hans-Martin Heyn
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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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 -
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 - 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 -
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 -
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 -
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 -
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 -
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