Automated Provenance Collection at Runtime as a Cross-Cutting Concern

Reynolds, Owen James, Garcia-Dominguez, Antonio orcid.org/0000-0002-4744-9150 and Bencomo, Nelly (2023) Automated Provenance Collection at Runtime as a Cross-Cutting Concern. In: Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023. 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2023, 01-06 Oct 2023 Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023 . Institute of Electrical and Electronics Engineers Inc. , SWE , pp. 276-285.

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Item Type: Proceedings Paper
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Funding Information: The work was partially funded by the EPSRC Research Project Twenty20Insight(Grant EP/T017627/1). Publisher Copyright: © 2023 IEEE. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Keywords: aspect-oriented programming,Provenance,runtime models
Dates:
  • Published: 22 December 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 25 Apr 2024 08:00
Last Modified: 19 Nov 2024 00:21
Published Version: https://doi.org/10.1109/MODELS-C59198.2023.00057
Status: Published
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series Name: Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023
Identification Number: 10.1109/MODELS-C59198.2023.00057
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Description: Automated provenance collection at runtime as a cross-cutting concern

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