Abstract
Although the database schemas are an integral part of information systems, the use of software product lines has been mainly studied for the production of executable code. The impact on data management and in particular the database schemas are poorly documented and little studied in the literature. The paper is an attempt to explore some of the issues of the modeling and implementation of the variability in the database through the use of disciplined approaches. We propose a variability management framework. Motivations for developing the framework are three-fold: (a) to facilitate the comprehension of the discipline, (b) to classify and compare existing approaches to managing this discipline and (c) to extract their insufficiencies to propose an approach that remedies these insufficiencies and resolve problems related to this discipline. Finally, we introduce seven different variability management approaches and their instantiation according to the variability management framework.
Original language | English |
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Title of host publication | 2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 113-120 |
Number of pages | 8 |
ISBN (Electronic) | 9781509047123 |
DOIs | |
Publication status | Published - Jun 5 2017 |
Event | 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2016 - Hammamet, Tunisia Duration: Dec 18 2016 → Dec 20 2016 |
Other
Other | 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2016 |
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Country/Territory | Tunisia |
City | Hammamet |
Period | 12/18/16 → 12/20/16 |
Keywords
- database schema
- Feature
- Software product lines
- Variability
- variability management framework
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Information Systems
- Signal Processing
- Information Systems and Management
- Electrical and Electronic Engineering