Efficiently querying large-scale heterogeneous models
- DOI
- 10.1145/3417990.3420207
- Published
- 2020-10-16
- Container
- Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3417990.3420207,
title = {Efficiently querying large-scale heterogeneous models},
author = {Qurat ul ain Ali and Dimitris Kolovos and Konstantinos Barmpis},
year = {2020},
journal = {Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings},
doi = {10.1145/3417990.3420207},
url = {https://doi.org/10.1145/3417990.3420207}
}RIS
TY - JOUR TI - Efficiently querying large-scale heterogeneous models AU - Qurat ul ain Ali AU - Dimitris Kolovos AU - Konstantinos Barmpis PY - 2020 JO - Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings DO - 10.1145/3417990.3420207 UR - https://doi.org/10.1145/3417990.3420207 ER -
APA
Ali, Q. U. A., Kolovos, D., & Barmpis, K. (2020). Efficiently querying large-scale heterogeneous models. Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. https://doi.org/10.1145/3417990.3420207
Source records
- crossref · retrieved 2026-11-10T10:43:21.637Z