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ORCIDHans-Martin Heyn
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2020 – today
- 2024
[j6]Khan Mohammad Habibullah
, Hans-Martin Heyn, Gregory Gay, Jennifer Horkoff, Eric Knauss, Markus Borg, Alessia Knauss, Håkan Sivencrona, Polly Jing Li:
Requirements and software engineering for automotive perception systems: an interview study. Requir. Eng. 29(1): 25-48 (2024)- [j5]Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran, Shruthi Dinakaran:
An empirical investigation of challenges of specifying training data and runtime monitors for critical software with machine learning and their relation to architectural decisions. Requir. Eng. 29(1): 97-117 (2024) - [j4]Shameer Kumar Pradhan, Hans-Martin Heyn, Eric Knauss:
Identifying and managing data quality requirements: a design science study in the field of automated driving. Softw. Qual. J. 32(2): 313-360 (2024) - [c10]Abdullatif AlShriaf, Hans-Martin Heyn, Eric Knauss:
Automated Configuration Synthesis for Machine Learning Models: A Git-Based Requirement and Architecture Management System. RE 2024: 488-491 - [i9]Abdullatif AlShriaf, Hans-Martin Heyn, Eric Knauss:
Automated Configuration Synthesis for Machine Learning Models: A git-Based Requirement and Architecture Management System. CoRR abs/2404.17244 (2024) - 2023
- [j3]Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione:
A compositional approach to creating architecture frameworks with an application to distributed AI systems. J. Syst. Softw. 198: 111604 (2023) - [c9]Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, Polly Jing Li:
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. CAIN 2023: 13-24 - [c8]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:
VEDLIoT: Next generation accelerated AIoT systems and applications. CF 2023: 291-296 - [c7]Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay, Jennifer Horkoff, Eric Knauss, Markus Borg, Alessia Knauss, Håkan Sivencrona, Polly Jing Li:
Requirements Engineering for Automotive Perception Systems: An Interview Study. REFSQ 2023: 189-205 - [c6]Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran, Shruthi Dinakaran:
An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications. REFSQ 2023: 206-222 - [i8]Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran, Shruthi Dinakaran:
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications. CoRR abs/2301.13476 (2023) - [i7]Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay, Jennifer Horkoff, Eric Knauss, Markus Borg, Alessia Knauss, Håkan Sivencrona, Polly Jing Li:
Requirements Engineering for Automotive Perception Systems: an Interview Study. CoRR abs/2302.12155 (2023) - [i6]Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss, Jennifer Horkoff, Markus Borg, Alessia Knauss, Polly Jing Li:
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. CoRR abs/2303.05947 (2023) - [i5]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:
VEDLIoT - Next generation accelerated AIoT systems and applications. CoRR abs/2305.05388 (2023) - 2022
- [j2]Nelly Bencomo, Jin L. C. Guo, Rachel Harrison, Hans-Martin Heyn, Tim Menzies:
The Secret to Better AI and Better Software (Is Requirements Engineering). IEEE Softw. 39(1): 105-110 (2022) - [c5]Hans-Martin Heyn, Eric Knauss:
Structural causal models as boundary objects in AI system development. CAIN 2022: 43-45 - [c4]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:
VEDLIoT: Very Efficient Deep Learning in IoT. DATE 2022: 963-968 - [c3]Alessio Ferrari, Hans-Martin Heyn, Mehrdad Sabetzadeh:
AIRE 2022: 9th International Workshop on Artificial Intelligence and Requirements Engineering. RE Workshops 2022: 139-140 - [c2]Hans-Martin Heyn, Padmini Subbiah, Jennifer Linder, Eric Knauss, Olof Eriksson:
Setting AI in Context: A Case Study on Defining the Context and Operational Design Domain for Automated Driving. REFSQ 2022: 199-215 - [i4]Hans-Martin Heyn, Padmini Subbiah, Jennifer Linder, Eric Knauss, Olof Eriksson:
Setting AI in context: A case study on defining the context and operational design domain for automated driving. CoRR abs/2201.11451 (2022) - [i3]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:
VEDLIoT: Very Efficient Deep Learning in IoT. CoRR abs/2207.00675 (2022) - [i2]Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione:
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems. CoRR abs/2212.13570 (2022) - 2021
- [c1]Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal:
Requirement Engineering Challenges for AI-intense Systems Development. WAIN@ICSE 2021: 89-96 - [i1]Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad, Olof Eriksson, Jennifer Linder, Padmini Subbiah, Shameer Kumar Pradhan, Sagar Tungal:
Requirement Engineering Challenges for AI-intense Systems Development. CoRR abs/2103.10270 (2021)
2010 – 2019
- 2013
- [j1]Stefanie Heinke, Sebastian Schwandtner, Christian Costante, Hans-Martin Heyn, Christian Brendle, Steffen Leonhardt, Marian Walter:
Modellierung und Regelung eines hydraulischen HIL-Simulators zum Test von Herzunterstützungssystemen / Modeling and Control of a Hydraulic Simulator for Ventricular Assist Device Testing. Autom. 61(9): 645-655 (2013)
Coauthor Index
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last updated on 2024-09-05 23:41 CEST by the dblp team
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