{"title":"Mapping AADL models to a repository of multiple schedulability analysis techniques","authors":"Yassine Ouhammou, E. Grolleau, J. Hugues","doi":"10.1109/ISORC.2013.6913214","DOIUrl":null,"url":null,"abstract":"To fill the gap between the modeling of real-time systems and the scheduling analysis, we propose a framework that supports seamlessly the two aspects: (1) modeling a system using a methodology, in our case study, the Architecture Analysis and Design Language (AADL), and (2) helping to easily check temporal requirements (schedulability analysis, worst-case response time, sensitivity analysis, etc.). We introduce the usefulness of an intermediate framework called MoSaRT, which supports a rich semantic concerning temporal analysis. We show with a case study how the input model is transformed into a MoSaRT model, and how our framework is able to generate the proper models as inputs to several classic temporal analysis tools.","PeriodicalId":330873,"journal":{"name":"16th IEEE International Symposium on Object/component/service-oriented Real-time distributed Computing (ISORC 2013)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th IEEE International Symposium on Object/component/service-oriented Real-time distributed Computing (ISORC 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC.2013.6913214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
To fill the gap between the modeling of real-time systems and the scheduling analysis, we propose a framework that supports seamlessly the two aspects: (1) modeling a system using a methodology, in our case study, the Architecture Analysis and Design Language (AADL), and (2) helping to easily check temporal requirements (schedulability analysis, worst-case response time, sensitivity analysis, etc.). We introduce the usefulness of an intermediate framework called MoSaRT, which supports a rich semantic concerning temporal analysis. We show with a case study how the input model is transformed into a MoSaRT model, and how our framework is able to generate the proper models as inputs to several classic temporal analysis tools.