For researchers and tool builders who need robust model comparison. The article explains matching strategies, equivalences, and how structural differences drive meaningful merges in EMF.
Key Takeaways
- Matching: identity vs. heuristic matching and their trade‑offs.
- Differences: add/remove/move/change at the model level—beyond text.
- Tooling: why good differencing is the backbone of collaborative modeling.
Context
- Publication: UPGRADE, The European Journal for the Informatics Professional, 2008, vol. 9, no 2
- Date: 2008
- Link: https://cedric.brun.io/talks/Upgrade2008/preprint-upgrade-vol-IX-2.pdf