{"title":"Availability analysis for synchronous data-flow graphs in mixed-criticality systems","authors":"R. Medina, Etienne Borde, L. Pautet","doi":"10.1109/SIES.2016.7509431","DOIUrl":null,"url":null,"abstract":"The safety-critical industry is compelled to continually increase the number of functionalities in embedded systems. These platforms tend to integrate software with various non-functional requirements, in particular different levels of criticality. As a consequence, Mixed-Criticality Systems emerged in order to assure robustness, safety and predictability for these embedded platforms. Although Mixed-Critcality Systems show promising results, formal methods to quantify availability are still missing for this type of systems and will most likely be required for deployment. This paper presents a transformation process that first produces a formal model of a Mixed-Criticality System. From this formal model, it generates a PRISM automaton in order to compute availability.","PeriodicalId":185636,"journal":{"name":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2016.7509431","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
The safety-critical industry is compelled to continually increase the number of functionalities in embedded systems. These platforms tend to integrate software with various non-functional requirements, in particular different levels of criticality. As a consequence, Mixed-Criticality Systems emerged in order to assure robustness, safety and predictability for these embedded platforms. Although Mixed-Critcality Systems show promising results, formal methods to quantify availability are still missing for this type of systems and will most likely be required for deployment. This paper presents a transformation process that first produces a formal model of a Mixed-Criticality System. From this formal model, it generates a PRISM automaton in order to compute availability.