TY - GEN
T1 - Monitoring ArchiMate Models for DataBio Project
AU - Chaabouni, Kaïs
AU - Bagnato, Alessandra
AU - Garcia-dominguez, Antonio
PY - 2019/11/18
Y1 - 2019/11/18
N2 - 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.
AB - 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.
KW - ArchiMate
KW - Enterprise Architecture
KW - Models metrics
UR - http://www.scopus.com/inward/record.url?scp=85076554859&partnerID=8YFLogxK
UR - http://link.springer.com/10.1007/978-3-030-35333-9_42
U2 - 10.1007/978-3-030-35333-9_42
DO - 10.1007/978-3-030-35333-9_42
M3 - Conference publication
SN - 9783030353322
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 583
EP - 589
BT - Product-Focused Software Process Improvement - 20th International Conference, PROFES 2019, Proceedings
A2 - Franch, Xavier
A2 - Männistö, Tomi
A2 - Martínez-Fernández, Silverio
PB - Springer
T2 - International Conference on Product-Focused Software Process Improvement, 2019
Y2 - 27 November 2019 through 29 November 2019
ER -