Journal papers
J-12: An empirical investigation of challenges of specifying training data and runtime monitor requirements for critical machine learning software and their relationship to architecture decisions. HM Heyn, E Knauss, I Malleswaran, S Dinakaran, Requirements Engineering, 2024, Springer Requirement Engineering Journal, 1-24. https://doi.org/10.1007/s00766-024-00415-4
J-11: Requirements and software engineering for automotive perception systems: an interview study. K Habibullah, HM Heyn, G Gay, J Horkoff, E Knauss, M Borg, A Knauss, H Sivencorna, P Li, 2024, Springer Requirements Engineering Journal, 1-24. https://doi.org/10.1007/s00766-023-00410-1
J-10: Identifying and managing data quality requirements: a design science study in the field of automated driving. SK Pradhan, HM Heyn, E Knauss, 2023, Springer Software Quality Journal, 1-48. https://doi.org/10.1007/s11219-023-09622-8
J-9: A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems. HM Heyn, E Knauss, P Pelliccione. 2023. Journal of Software and Systems (JSS). https://doi.org/10.1016/j.jss.2022.111604
J-8: Fast onboard detection of ice drift changes under stationkeeping in ice. HM Heyn, R Skjetne. 2022. Cold Regions Science and Technology 196, 103483. https://doi.org/10.1016/j.coldregions.2022.103483 Link to pre-print
J-7: On perception safety requirements and multi sensor systems for automated driving systems. A Cassel, C Bergenhem, OM Christensen, HM Heyn, S. Leadersson-Olsson, M. Majdandzic, P. Sun, A. Thorsen, J. Trygvesson. 2020. SAE International Journal of Advances and Current Practices in Mobility. https://doi.org/10.4271/2020-01-0101
J-6: Ice condition assessment using onboard accelerometers and statistical change detection. HM Heyn, M Blanke, R Skjetne. 2019. IEEE Journal of Oceanic Engineering 45 (3), 898-914. https://doi.org/10.1109/JOE.2019.2899473 Link to pre-print
J-5: Time-frequency analysis of acceleration data from ship-ice interaction events. HM Heyn, R Skjetne. 2018. Cold Regions Science and Technology 156, 61-74. https://doi.org/10.1016/j.coldregions.2018.01.019 Link to pre-print
J-4: A large scale simulation of floe-ice fractures and validation against full-scale scenario. W Lu, HM Heyn, R Lubbad, S Løset. 2018. International Journal of Naval Architecture and Ocean Engineering 10, 393-402. https://doi.org/10.1016/j.ijnaoe.2018.02.006
J-3: On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models: Part 2. Parameter and state estimation. C Fleischer, W Waag, HM Heyn, DU Sauer. 2014. Journal of Power Sources 262, 457-482. https://doi.org/10.1016/j.jpowsour.2014.03.046
J-2: On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models: Part 1. Requirements, critical review of methods and modeling. C Fleischer, W Waag, HM Heyn, DU Sauer. 2014. Journal of Power Sources 260, 276-291. https://doi.org/10.1016/j.jpowsour.2014.01.129
J-1: Modeling and Control of a Hydraulic Simulator for Ventricular Assist Device Testing. S Heinke, S Schwandtner, C Costante, HM Heyn, C Brendle, S Leonhardt, AT-AUTOMATISIERUNGSTECHNIK 61 (9), 645-655. https://doi.org/10.1524/auto.2013.0054
Conference papers
C-16: VEDLIoT - Next generation accelerated AIoT systems and applications. K Mika, R Griessl, N Kucza, F Porrmann, M Kaiser, …, M Porrmann, HM Heyn, E Knauss, Y Mao, F Meierhöfer. Computing Frontiers 2023. https://doi.org/10.1145/3587135.3592175 https://arxiv.org/pdf/2305.05388.pdf
C-15: Requirements Engineering for Automotive Perception Systems: An Interview Study. KM Habibullah, HM Heyn, G Gay, J Horkoff, E Knauss, M Borg, A Knauss, H Sivencrona, J. Li. 2023. Requirements Engineering: Foundation for Software Quality: 29th International Working Conference, REFSQ 2023. https://doi.org/10.1007/978-3-031-29786-1_13 https://arxiv.org/pdf/2302.12155
C-14: An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications. H.-M. Heyn, E. Knauss, I. Malleswarna, S. Dinakarna. 2023. Requirements Engineering: Foundation for Software Quality: 29th International Working Conference, REFSQ 2023. https://doi.org/10.1007/978-3-031-29786-1_14 https://arxiv.org/pdf/2301.13476.pdf
C-13: Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. HM Heyn, KM Habibullah, E Knauss, J Horkoff, M Borg, A Knauss, PJ Li. 2023. Proceedings of the 2nd International Conference on AI Engineering (CAIN). https://doi.org/10.1109/CAIN58948.2023.00011 https://arxiv.org/pdf/2303.05947
C-12: Structural causal models as boundary objects in AI system development. HM Heyn, E Knauss. 2022. Proceedings of the 1st International Conference on AI Engineering (CAIN). https://doi.org/10.1145/3522664.3528615
C-11: VEDLIoT: very efficient deep learning in IoT. M Kaiser, R Griessl, N Kucza, C Haumann, L Tigges, K Mika, …, HM Heyn. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 963-968. https://doi.org/10.23919/DATE54114.2022.9774653 https://arxiv.org/pdf/2207.00675
C-10: Setting AI in context: a case study on defining the context and operational design domain for automated driving. HM Heyn, P Subbiah, J Linder, E Knauss, O Eriksson. Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022. https://doi.org/10.1007/978-3-030-98464-9_16 https://arxiv.org/pdf/2201.11451
C-9: Requirement engineering challenges for ai-intense systems development. HM Heyn, E Knauss, AP Muhammad, O Eriksson, J Linder, P Subbiah, SK Pradhan, S Tungal. 2021. IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI (WAIN 2021). https://doi.org/10.1109/WAIN52551.2021.00020 https://arxiv.org/pdf/2103.10270
C-8: Towards an operational design domain that supports the safety argumentation of an automated driving system. M Gyllenhammar, R Johansson, F Warg, DJ Chen, HM Heyn, M. Sanfridson, J. Söderberg, A. Thorsen, S. Ursing. 2020. 10th European Congress on Embedded Real Time Systems (ERTS 2020). https://www.diva-portal.org/smash/get/diva2:1390550/FULLTEXT01.pdf
C-7: Distributed sensing of loads acting against the hull of a stationkeeping vessel in ice. HM Heyn, R Skjetne, F Scibilia. 2018. International Conference on Offshore Mechanics and Arctic Engineering. https://doi.org/10.1115/OMAE2018-78579 Link to pre-print
C-6: Distributed motion sensing on ships. HM Heyn, G Udjus, R Skjetne. IEEE OCEANS 2017. Anchorage, 1-9. Link to pre-print
C-5: A system for automated vision-based sea-ice concentration detection and floe-size distribution indication from an icebreaker. HM Heyn, M Knoche, Q Zhang, R Skjetne. 2017. International Conference on Offshore Mechanics and Arctic Engineering. https://doi.org/10.1115/OMAE2017-61822 Link to pre-print
C-4: Modeling, parameter identification and thruster-assisted position mooring of c/s inocean cat i drillship. J Bjørnø, HM Heyn, R Skjetne, AR Dahl, P Frederich. 2017. International Conference on Offshore Mechanics and Arctic Engineering. Link to pre-print
C-3: Large scale simulations of floe-ice fractures and validation against full-scale data. W Lu, HM Heyn, R Lubbad, S Løset. 2017. 24th International Conference on Port and Ocean Engineering under Arctic Conditions. https://www.poac.com/Papers/2017/pdf/POAC17_114_Wenjun.pdf
C-2: A system for measuring ice-induced accelerations and identifying ice actions on the CCGS Amundsen and a Swedish ATLE-class icebreaker. HM Heyn, R Skjetne. 2016. International Conference on Offshore Mechanics and Arctic Engineering. https://doi.org/10.1115/OMAE2016-54738 Link to pre-print
C-1: Estimation of forces caused by ship-ice interaction using on-board sensor measurements. HM Heyn, R Skjetne. 2015. Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions. http://www.poac.com/Papers/2015/pdf/poac15Final00132.pdf
Magazine articles, book chapters, and other publications
M-3: Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems. M Pasin, J Ménétrey, P Felber, V Schiavoni, HM Heyn, E Knauss, A Khurshid, and S Raza. 2023. Chapter in Shaping the Future of IoT with Edge Intelligence – How Edge Computing Enables the Next Generation of IoT Applications. River Publishers. https://doi.org/10.13052/rp-9788770040266
M-2: The secret to better ai and better software (is requirements engineering). N Bencomo, JLC Guo, R Harrison, HM Heyn, T Menzies. 2021. IEEE Software 39 (1), 105-110. https://doi.org/10.1109/MS.2021.3118099 https://dro.dur.ac.uk/35098/1/35098.pdf
M-1: Motion sensing on vessels operating in sea ice: A local monitoring system for transit and stationkeeping operations under the influence of sea ice. HM Heyn. 2019. PhD Thesis NTNU Trondheim. https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2611143