Integration of hawk for model metrics in the MEASURE platform

Orjuwan Al-Wadeai, Antonio Garcia-Dominguez, Alessandra Bagnato, Antonin Abherve, Konstantinos Barmpis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The MEASURE project aims to integrate metrics across all phases of the software development lifecycle into a single decision support platform. For the earlier phases, metrics can be derived from models. Industrial use of model-driven engineering produces large model repositories, and high-performance querying is key to keep their metrics up to date. This paper presents an integration between the MEASURE metrics platform and the Hawk model indexing tool. Hawk was improved in several ways, such as adding support for the new Modelio metamodelling framework, or allowing Hawk servers to be provisioned through configuration files rather than through its web services. MEASURE and Hawk were then combined successfully to extract metrics from Modelio models of various domains, and Hawk was able to index and efficiently answer queries about the 2GB collection of models used by Softeam to develop Modelio.

Original languageEnglish
Title of host publicationMODELSWARD 2018 - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development
EditorsSlimane Hammoudi, Luis Ferreira Pires, Bran Selic
PublisherSciTePress
Pages719-730
Number of pages12
ISBN (Electronic)9789897582837
DOIs
Publication statusPublished - 2018
Event6th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2018 - Funchal, Madeira, Portugal
Duration: 22 Jan 201824 Jan 2018

Publication series

NameMODELSWARD 2018 - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development
Volume2018-January

Conference

Conference6th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period22/01/1824/01/18

Bibliographical note

Funding Information:
The research leading to these results was partially funded by the ITEA3 project 14009, MEASURE.

Publisher Copyright:
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

Keywords

  • Big Data
  • Model Repositories
  • Scalable Model Querying
  • Specialized Information Retrieval
  • Unified Modeling Language (UML)

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