{"title":"Modelling probabilistic timing analysis: work-in-progress","authors":"Bojan Nokovic, E. Sekerinski","doi":"10.1145/3125503.3125566","DOIUrl":null,"url":null,"abstract":"We describe the process of calculating the execution time profile (ETP) in order to determine the probabilistic worst case execution time (WCET) using a model-based approach. By hierarchical state machines with probabilistic transitions and costs/reward specifications, we model the instructions with probabilistic execution time. From the model, our tool, pState, generates input code for a probabilistic model checker on which properties can be analysed.","PeriodicalId":143573,"journal":{"name":"International Conference on Embedded Software","volume":"161 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Embedded Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3125503.3125566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We describe the process of calculating the execution time profile (ETP) in order to determine the probabilistic worst case execution time (WCET) using a model-based approach. By hierarchical state machines with probabilistic transitions and costs/reward specifications, we model the instructions with probabilistic execution time. From the model, our tool, pState, generates input code for a probabilistic model checker on which properties can be analysed.