Youness Laghouaouta, M. Nassar, A. Anwar, J. Bruel
{"title":"图转换对模型组合可追溯性的使用","authors":"Youness Laghouaouta, M. Nassar, A. Anwar, J. Bruel","doi":"10.1109/RCIS.2014.6861075","DOIUrl":null,"url":null,"abstract":"The model composition provides support to build systems based on a set of less complex sub-models. This operation allows managing complexity while supporting the modularity and reusability tasks. Due to the increase number of the involving models, their composition becomes a tedious task. For that, the need for maintaining traceability information is raised to help managing the composition operation. We propose in this work a graph-based model transformations approach, which aims to keep track of the model composition operation. Our objective is to capture traces in an automatic and reusable manner. Finally, a composition scenario is given to demonstrate the feasibility of our proposal.","PeriodicalId":288073,"journal":{"name":"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On the use of graph transformations for model composition traceability\",\"authors\":\"Youness Laghouaouta, M. Nassar, A. Anwar, J. Bruel\",\"doi\":\"10.1109/RCIS.2014.6861075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The model composition provides support to build systems based on a set of less complex sub-models. This operation allows managing complexity while supporting the modularity and reusability tasks. Due to the increase number of the involving models, their composition becomes a tedious task. For that, the need for maintaining traceability information is raised to help managing the composition operation. We propose in this work a graph-based model transformations approach, which aims to keep track of the model composition operation. Our objective is to capture traces in an automatic and reusable manner. Finally, a composition scenario is given to demonstrate the feasibility of our proposal.\",\"PeriodicalId\":288073,\"journal\":{\"name\":\"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2014.6861075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2014.6861075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the use of graph transformations for model composition traceability
The model composition provides support to build systems based on a set of less complex sub-models. This operation allows managing complexity while supporting the modularity and reusability tasks. Due to the increase number of the involving models, their composition becomes a tedious task. For that, the need for maintaining traceability information is raised to help managing the composition operation. We propose in this work a graph-based model transformations approach, which aims to keep track of the model composition operation. Our objective is to capture traces in an automatic and reusable manner. Finally, a composition scenario is given to demonstrate the feasibility of our proposal.