{"title":"A MARTE-Based Design Pattern for Adaptive Real-Time Embedded Systems","authors":"A. Mansour, Mohamed Naija, S. Ahmed","doi":"10.5220/0007673102420248","DOIUrl":null,"url":null,"abstract":"The design of adaptive real-time & embedded systems (RTES) is a hard task due to the complexity of both software/hardware features and the variability in the operational environment. This paper presents a new design pattern intended to support and facilitate the co-modeling and scheduling analysis of RTES. The contribution of this pattern is that is designed to i) support scheduling analysis allowing adaptation mechanisms ii) model all the software/hardware features and allocation in the same view iii) annotate the system with functional and non-functional properties using a high-level modeling language. The generated model from the pattern contains all the needed information to perform the schedulability tests. As a proof of concepts, we present experimental results for an automobile system.","PeriodicalId":420861,"journal":{"name":"International Conference on Evaluation of Novel Approaches to Software Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Evaluation of Novel Approaches to Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0007673102420248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The design of adaptive real-time & embedded systems (RTES) is a hard task due to the complexity of both software/hardware features and the variability in the operational environment. This paper presents a new design pattern intended to support and facilitate the co-modeling and scheduling analysis of RTES. The contribution of this pattern is that is designed to i) support scheduling analysis allowing adaptation mechanisms ii) model all the software/hardware features and allocation in the same view iii) annotate the system with functional and non-functional properties using a high-level modeling language. The generated model from the pattern contains all the needed information to perform the schedulability tests. As a proof of concepts, we present experimental results for an automobile system.