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 (11)
Projects (2)

Showing 11 publications

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 et al

Requirements Engineering. Vol. 29 (1), p. 97-117

Journal article

Show project

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, p. 488-491

Paper in proceeding

2024

Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems

Marcelo Pasin, Jämes Ménétrey, Pascal Felber et al

Shaping the Future of IoT with Edge Intelligence, p. 197-228

Book chapter

Show project

2024

Identifying and managing data quality requirements: a design science study in the field of automated driving

Shameer Kumar Pradhan, Hans-Martin Heyn, Eric Knauss

Software Quality Journal. Vol. 32 (2), p. 313-360

Journal article

Show project

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

Show project

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

Show project

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

Show project

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

2021

Requirement engineering challenges for ai-intense systems development.

Hans-Martin Heyn, Eric Knauss, Amna Pir Muhammad et al

Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021

Paper in proceeding

Show project