Managing variability in database context using an MDE approach

Nesrine Khalfallah; Sami Ouali; Naoufel Kraiem

doi:10.1109/CEIT.2016.7929071

Managing variability in database context using an MDE approach

Nesrine Khalfallah, Sami Ouali, Naoufel Kraiem

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In the software engineering field, especially in software product line engineering, the problem of managing the variability within databases is relevant. Therefore, in this paper, we have tried to manage the complexity of modeling variables databases schemas and implement an automatic method of generating this type of schema, and then test it on two cases of studies. To carry out this task we decided to start managing the variability from the more abstract model (metamodel) to coding. Hence the choice to work with model driven engineering MDE approach of Object Management Group OMG: Model driven architecture MDA, since our work is based on modeling and meta-modeling by UML. Indeed, we succeeded, in the end, to manage automatically the variability criterion within the database schema via parameter tables that contain optional features of the main tables of the database schema.

Original language	English
Title of host publication	4th International Conference on Control Engineering and Information Technology, CEIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509010554
DOIs	https://doi.org/10.1109/CEIT.2016.7929071
Publication status	Published - May 15 2017
Event	4th International Conference on Control Engineering and Information Technology, CEIT 2016 - Hammamet, Tunisia Duration: Dec 16 2016 → Dec 18 2016

Other

Other	4th International Conference on Control Engineering and Information Technology, CEIT 2016
Country/Territory	Tunisia
City	Hammamet
Period	12/16/16 → 12/18/16

Keywords

Database
Features
Metamodel
Model
Model driven architecture
Model driven engineering
Transformation rules
Variability

ASJC Scopus subject areas

Control and Optimization
Hardware and Architecture
Energy Engineering and Power Technology
Control and Systems Engineering
Computer Science Applications

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10.1109/CEIT.2016.7929071

Cite this

Khalfallah, N, Ouali, S & Kraiem, N 2017, Managing variability in database context using an MDE approach. in 4th International Conference on Control Engineering and Information Technology, CEIT 2016., 7929071, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Control Engineering and Information Technology, CEIT 2016, Hammamet, Tunisia, 12/16/16. https://doi.org/10.1109/CEIT.2016.7929071

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N2 - In the software engineering field, especially in software product line engineering, the problem of managing the variability within databases is relevant. Therefore, in this paper, we have tried to manage the complexity of modeling variables databases schemas and implement an automatic method of generating this type of schema, and then test it on two cases of studies. To carry out this task we decided to start managing the variability from the more abstract model (metamodel) to coding. Hence the choice to work with model driven engineering MDE approach of Object Management Group OMG: Model driven architecture MDA, since our work is based on modeling and meta-modeling by UML. Indeed, we succeeded, in the end, to manage automatically the variability criterion within the database schema via parameter tables that contain optional features of the main tables of the database schema.

AB - In the software engineering field, especially in software product line engineering, the problem of managing the variability within databases is relevant. Therefore, in this paper, we have tried to manage the complexity of modeling variables databases schemas and implement an automatic method of generating this type of schema, and then test it on two cases of studies. To carry out this task we decided to start managing the variability from the more abstract model (metamodel) to coding. Hence the choice to work with model driven engineering MDE approach of Object Management Group OMG: Model driven architecture MDA, since our work is based on modeling and meta-modeling by UML. Indeed, we succeeded, in the end, to manage automatically the variability criterion within the database schema via parameter tables that contain optional features of the main tables of the database schema.

KW - Database

KW - Features

KW - Metamodel

KW - Model

KW - Model driven architecture

KW - Model driven engineering

KW - Transformation rules

KW - Variability

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Managing variability in database context using an MDE approach

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Keywords

ASJC Scopus subject areas

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