The list of SAM 2022 accepted papers.

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

1. Iulia Dragomir, Carlos Redondo Aparicio, Tiago Jorge da Silva, Laura Sequeira Gouveia, Iulian Ober, Ivan Kolesnikov, Marius Bozga and Maxime Perrotin. Model-Checking of Space Systems designed with TASTE/SDL.
A revised version of this paper was later submitted and accepted for publication in ISSE.

2. Saheed Popoola, Xin Zhao, Jeff Gray and Antonio Garcia-Dominguez. Classifying Changes to Models via Changeset Metrics.
A revised version of this paper was later submitted and accepted for publication in ISSE.

3. Andreas Prinz, Terje Gjøsæter, Birger Møller-Pedersen and Themis Dimitra Xanthopoulou. On Abstraction in the OMG Hierarchy.

4. Prabhsimran Singh, Younes Boubekeur and Gunter Mussbacher. Detecting Mistakes in a Domain Model.
A revised version of this paper was later submitted and accepted for publication in ISSE.

5. Jalves Nicacio and Fabio Petrillo. An approach to build consistent software architecture diagrams using DevOps system descriptors.

6. Maxime Savary-Leblanc and Xavier Le Pallec. Interactive highlighting for digital UML class diagrams: a new feature?.

7. Andrii Kovalov, Girish Patil, Vishav Bansal and Andreas Gerndt. Model Checking Message Delivery Times in SpaceWire Networks.

8. Sanaa Alwidian. Towards Extending the Goal-Oriented Requirements Language with Emotion-Oriented Goals to Support Socio-Technical Systems.

9. Romain Delabeye, Olivia Penas and Régis Plateaux. Scalable ontology-based V&V process for heterogeneous systems and applications.

10. Christos Kotronis, Mara Nikolaidou and Cleopatra Bardaki. QoS-aware Model-Based Systems Design using Systems Modeling Language.

11. Fabian Giertzsch, Oliver Constantin Eichmann, Hartmut Hintze and Ralf God. An Approach for a Simulation-Based Analysis of Business Processes Using the Systems Modeling Language (SysML).

12. Juan Parra, Antonio Garcia-Dominguez, Nelly Bencomo and Luis Hernan Garcia Paucar. History-Aware Explanations: Towards Enabling Human-in-the-Loop in Self-Adaptive Systems with Temporal Models.