Federico Ciccozzi, A. Cicchetti, Mikael Krekola, Mikael Sjödin
{"title":"Generation of correct-by-construction code from design models for embedded systems","authors":"Federico Ciccozzi, A. Cicchetti, Mikael Krekola, Mikael Sjödin","doi":"10.1109/SIES.2011.5953681","DOIUrl":null,"url":null,"abstract":"In a model-driven engineering development process that focuses on guaranteeing that extra-functional concerns modeled at design level are preserved at platform execution level, the task of automated code generation must produce artifacts that enable back-annotation activities. In fact when the target platform code has been generated, quality attributes of the system are evaluated by appropriate code execution monitoring/analysis tools and their results back-annotated to the source models to be extensively evaluated. Only at this point the preservation of analysed extra-functional aspects can be either asserted or achieved by re-applying the code generation chain to the source models properly optimized according to the evaluation results. In this work we provide a solution for the problem of automatically generating target platform code from source models focusing on producing code artifacts that facilitate analysis and enable back-annotation activities. Arisen challenges and solutions are described together with completed and planned implementation of the proposed approach.","PeriodicalId":391594,"journal":{"name":"2011 6th IEEE International Symposium on Industrial and Embedded Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Industrial and Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2011.5953681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In a model-driven engineering development process that focuses on guaranteeing that extra-functional concerns modeled at design level are preserved at platform execution level, the task of automated code generation must produce artifacts that enable back-annotation activities. In fact when the target platform code has been generated, quality attributes of the system are evaluated by appropriate code execution monitoring/analysis tools and their results back-annotated to the source models to be extensively evaluated. Only at this point the preservation of analysed extra-functional aspects can be either asserted or achieved by re-applying the code generation chain to the source models properly optimized according to the evaluation results. In this work we provide a solution for the problem of automatically generating target platform code from source models focusing on producing code artifacts that facilitate analysis and enable back-annotation activities. Arisen challenges and solutions are described together with completed and planned implementation of the proposed approach.