{"title":"From UML to LQN by XML algebra-based model transformations","authors":"G. Gu, D. Petriu","doi":"10.1145/1071021.1071031","DOIUrl":null,"url":null,"abstract":"The change of focus from code to models promoted by OMG's Model Driven Development raises the need for verification of non-functional characteristics of UML models. such as performance, reliability, scalability, security, etc. Many modeling formalisms, techniques and tools have been developed over the years for the analysis of different non-functional characteristics. The challenge is not to reinvent new analysis methods for UML models, but to bridge the gap between UML-based software development tools and different kinds of existing analysis tools. Traditionally, the analysis models were built \"by hand\". However, a new trend is starting to emerge, that involves the automatic transformation of UML models (annotated with extra information) into various kinds of analysis models. This paper proposes a transformation method of an annotated UML model into a performance model. The mapping between the input model and the output model is defined at a higher level of abstraction based on graph transformation concepts, whereas the implementation of the transformation rules and algorithm uses lower-level XML trees manipulations techniques, such as XML algebra. The target performance model used as an example in this paper is the Layered Queueing Network (LQN); however, the transformation approach can be easily tailored to other performance modelling formalisms.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Software and Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1071021.1071031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 61
Abstract
The change of focus from code to models promoted by OMG's Model Driven Development raises the need for verification of non-functional characteristics of UML models. such as performance, reliability, scalability, security, etc. Many modeling formalisms, techniques and tools have been developed over the years for the analysis of different non-functional characteristics. The challenge is not to reinvent new analysis methods for UML models, but to bridge the gap between UML-based software development tools and different kinds of existing analysis tools. Traditionally, the analysis models were built "by hand". However, a new trend is starting to emerge, that involves the automatic transformation of UML models (annotated with extra information) into various kinds of analysis models. This paper proposes a transformation method of an annotated UML model into a performance model. The mapping between the input model and the output model is defined at a higher level of abstraction based on graph transformation concepts, whereas the implementation of the transformation rules and algorithm uses lower-level XML trees manipulations techniques, such as XML algebra. The target performance model used as an example in this paper is the Layered Queueing Network (LQN); however, the transformation approach can be easily tailored to other performance modelling formalisms.