Patrick Leserf, Pierre de Saqui-Sannes, J. Hugues, K. Chaaban
{"title":"SysML modeling for embedded systems design optimization: A case study","authors":"Patrick Leserf, Pierre de Saqui-Sannes, J. Hugues, K. Chaaban","doi":"10.5220/0005229204490457","DOIUrl":null,"url":null,"abstract":"Model-Based Systems Engineering (MBSE) with the SysML language allows the designer to include requirement capture and design representation in a single model. This paper proposes a methodology to obtain the best design alternative, from a SysML design, by using multi-objective optimization techniques. A SysML model is extended with stereotypes, objective functions, variability and constraints. Then an integer representation of the problem can be generated and solved as a constraint satisfaction problem (CSP). The paper illustrates our methodology using an Embedded Cognitive Safety System (ECSS) design. From a component repository and redundancy alternatives, the best design alternatives are generated, to minimize the total cost and maximize the estimated system reliability.","PeriodicalId":256976,"journal":{"name":"2015 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005229204490457","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
Model-Based Systems Engineering (MBSE) with the SysML language allows the designer to include requirement capture and design representation in a single model. This paper proposes a methodology to obtain the best design alternative, from a SysML design, by using multi-objective optimization techniques. A SysML model is extended with stereotypes, objective functions, variability and constraints. Then an integer representation of the problem can be generated and solved as a constraint satisfaction problem (CSP). The paper illustrates our methodology using an Embedded Cognitive Safety System (ECSS) design. From a component repository and redundancy alternatives, the best design alternatives are generated, to minimize the total cost and maximize the estimated system reliability.