Selected papers for SAM 2024

The papers for SAM2024 are published in
MODELS Companion '24: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
SESSION: 16th System Analysis and Modelling Conference (SAM)

Clicking on an accepted paper title below takes you to the ACM Digital Library page for the paper.

  1. Emmanuel Gaudin. Experimenting low code with SDL and BPMN.

  2. Fabian Giertzsch, Marvin Blecken and Ralf God. Towards a Model-Based Systems Engineering Framework for the Design and Configuration of Communication Networks in a Data-Driven and Interconnected Aircraft Cabin.

  3. Zaheed Ahmed and Philip Makedonski. Exploring the Fundamentals of Mutations in Deep Neural Networks.

  4. Bianca Wiesmayr, Alois Zoitl and David Hästbacka. Modeling Service Choreographies and Collaborative Tasks for Autonomous Mixed-Fleet Systems. This paper was awarded the Best Paper Award.

  5. Carina Bieber, Patrick Harms, Dominick Leppich and Katrin Proschek. AI-based User Emotion Recognition from Interaction Data: Challenges and Guidelines for Training Data Creation.

  6. Vaishali Siddeshwar, Sanaa Alwidian and Masoud Makrehchi. A Comparative Study of Large Language Models for Goal Model Extraction.

  7. Manas Manoj Bedekar and Gunter Mussbacher. A Multi-Platform Specification Language and Dataset for the Analysis of DevOps Pipelines.

  8. Federico Bonetti, Antonio Bucchiarone, Judith Michael, Antonio Cicchetti, Annapaola Marconi and Bernhard Rumpe. Digital Twins of Socio-Technical Ecosystems to Drive Societal Change.

  9. Johan Cederbladh, Daniel Krems and Antonio Cicchetti. Extending MagicGrid to Support Virtual Prototyping for Early System Performance Validation and Verification.

  10. Johan Cederbladh, Martin Eisenberg, Luca Berardinelli and Damir Bilic. Automation Support for System Simulation and Architecture Layout Design in Cyber-Physical Systems Engineering.

  11. Ármin Zavada, Kristóf Marussy and Vince Molnár. From Transpilers to Semantic Libraries: Formal Verification With Pluggable Semantics.