Hans-Martin Heyn

Senior Lecturer at Software Engineering 1

Research Interests:
System architecture of distributed systems;
Sensor networks;
Fault detection and functional safety;
Requirement Engineering for AI;
Bayesian methods and decision theory;
Causality and Causal Reasoning.

My personal website is https://martinheyn.github.io

Source: chalmers.se

Contact Details ORCID

Publications (6)
Projects (2)

Showing 6 publications

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 et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13975 LNCS, p. 206-222

Paper in proceeding

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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. Vol. 198

Journal article

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2023

Requirements Engineering for Automotive Perception Systems: An Interview Study

Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13975 LNCS, p. 189-205

Paper in proceeding

2023

Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges

Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss et al

Proceedings - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, p. 13-24

Paper in proceeding

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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 et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13216 LNCS, p. 199-215

Paper in proceeding

2022

The Secret to Better AI and Better Software (Is Requirements Engineering)

Nelly Bencomo, Jin L.C. Guo, Rachel Harrison et al

IEEE Software. Vol. 39 (1), p. 105-110

Journal article

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