Abstract
The Collaborative Comparison Challenge aims at fostering communication and collaboration between researchers within the community, with a potential view to homogenizing multi-level modeling. The challenge invites researchers working on different multi-level modeling approaches to contrast their respective approaches with each other by writing a joint paper that applies their approaches on the same domain example. The joint work should focus on elaborating the commonalities and differences between the approaches’ foundational concepts rather than realization details.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C 2021), Virtual Conference, October 10-15, 2021 |
| Publisher | IEEE Press |
| Pages | 495-496 |
| Number of pages | 2 |
| ISBN (Print) | 978-1-6654-2484-4 |
| DOIs | |
| Publication status | Published - Oct 2021 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 102033 Data mining
- 102035 Data science
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Digital Transformation