{"title":"Managing variability in database context using an MDE approach","authors":"N. Khalfallah, Sami Ouali, N. Kraiem","doi":"10.1109/CEIT.2016.7929071","DOIUrl":null,"url":null,"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.","PeriodicalId":355001,"journal":{"name":"2016 4th International Conference on Control Engineering & Information Technology (CEIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Conference on Control Engineering & Information Technology (CEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIT.2016.7929071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
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.