Monitoring ArchiMate Models for DataBio Project

Chaabouni, Kaïs, Bagnato, Alessandra and Garcia-Dominguez, Antonio orcid.org/0000-0002-4744-9150 (2019) Monitoring ArchiMate Models for DataBio Project. In: Franch, Xavier, Männistö, Tomi and Martínez-Fernández, Silverio, (eds.) Product-Focused Software Process Improvement - 20th International Conference, PROFES 2019, Proceedings. 20th International Conference on Product-Focused Software Process Improvement, PROFES 2019, 27-29 Nov 2019 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , ESP , pp. 583-589.

Abstract

The Data-Driven Bio-economy project (DataBio) is a large scale project that aims to develop a platform that offers access to big data technologies in the domains of agriculture, fishery and forestry. This project applies the standard Enterprise Architecture language: “ArchiMate 3.0” for modelling the pilot studies and for modelling the software components in order to facilitate comprehension and communication between partners. The models are created with the modelling tool “Modelio” which allows contributors to collaborate on a shared version of the ArchiMate models. These models are monitored continuously by the monitoring tool “Measure Platform” and the model querying tool “Hawk”. This paper describes the monitoring approach and specifies the metrics defined to evaluate the quality level of the models.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Chaabouni, Kaïs Bagnato, Alessandra Garcia-Dominguez, Antonio https://orcid.org/0000-0002-4744-9150
Editors:	Franch, Xavier Männistö, Tomi Martínez-Fernández, Silverio
Copyright, Publisher and Additional Information:	Funding Information: This work is partially funded by “DataBio project” (No. 732064) under European Commission’s Horizon 2020 research and innovative programme and “Measure project” (No. 14009) under the EUREKA ITEA 3 Programme. Publisher Copyright: © Springer Nature Switzerland AG 2019. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Keywords:	ArchiMate,Enterprise Architecture,Models metrics
Dates:	Published: 18 November 2019
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User:	Pure (York)
Date Deposited:	01 May 2024 10:10
Last Modified:	07 Feb 2025 00:09
Published Version:	https://doi.org/10.1007/978-3-030-35333-9_42
Status:	Published
Publisher:	Springer
Series Name:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identification Number:	10.1007/978-3-030-35333-9_42
Related URLs:	http://www.scopus.com/inward/record.url?...
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:212151

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