Metamodelingbased approach for risk assessment and cost. Metamodeling and method engineering with conceptbase. Demystifying blackbox models with symbolic metamodels, by a. Thus metamodeling or metamodeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. Proceedings of the 2015 winter simulation conference, pp. Sensor grid middleware metamodeling and analysis core reader. Metamodeling, or metamodeling, is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. Pdf regionalization of groundwater residence time using. For instance, 1,000 decision treesis often called a random forest. Metamodeling can be applied and integrated to solve various types of optimization problems that involve computationintensive functions.
A common approach is to use a predefined stressparameter function that is force fit to the submodels leading to biased predictions. Metamodeling is an effecti ve approach to build the relatio n between input and output parameters using the sample dat a collected for these input and output par ameters through approximation. Metamodeling is a powerful concept in the area of information systems that can be applied to solve a variety of tasks. Pylace allows the user to specify uncertain variables and metamodeling algorithm in json format, which is a standard file format for web application messaging and can be easily edited by using any text editor. Dancing wu li masters download ebook pdf, epub, tuebl, mobi. More than 40 million people use github to discover, fork, and contribute to over 100 million projects.
Download pdf dancing wu li masters free online new. A practical guide to method engineering based on metamodeling, with theoretical foundations and case studies, suitable for classroom use or as a reference for practitioners. Adaptive variance reduction, adaptive metamodeling, and investigation of robustness measures doctoral dissertation. Metamodeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. Curatend is a service of the hesburgh libraries of notre dame. Tutorial notes there are minor differences between some of the descriptions in the tutorial document and the latest emfgmf versions, e. Slides of the metamodeling lab for the advanced software engineering course 20142015 at disim, university of laquila. At wsc14 alone there were two sessions dedicated to metamodeling, and a total of ten papers across all sessions. A variational inferencebased heteroscedastic gaussian. The infrastructure for a metamodeling architecture.
An analysis of metamodeling practices for mof and ocl. This text is a guide to the foundations of method engineering, a developing field concerned with the definition of techniques for designing software systems. This chapter examines two systems and builds simulation models and metamodels for them in much the same way as was done in chapter 4 for the mms queuing system. Automating design and verification of embedded systems using metamodeling. Metamodeling and the criticbased approach to multilevel.
In numerical simulations of geomechanics problems, a grand challenge consists of overcoming the difficulties in making accurate and robust predictions by revealing the true mechanisms in particle interactions, fluid flow inside pore spaces, and hydromechanical coupling effect between the solid. Metamodeling or regression techniques are useful in 1 identifying key factors that affect the performance of a design, and 2 creating an analytical model where gradientbased methods can be applied. Once you are done editing, reclick the transform step in the gmf dashboard and then click generate diagram editor. Use adobe acrobat reader version 10 or higher for the best experience. As its name implies, this concept applies the notions of metaand modeling.
Figure 1 metamodeling and its role in support of engineering design optimization. In order to do so first the basic thoughts behind metamodeling are introduced. Metamodeling lightweight data compression algorithms and its application scenarios juliana hildebrandt 1, dirk habich, thomas kuhn 2, patrick damme, and wolfgang lehner1 1 technische universit at dresden, database systems group, dresden, germany 2 technische universit at dresden, software technology group, dresden, germany ffirstname. A multiasset monte carlo simulation model for the valuation of variable annuities. At this point, i will not reveal to readers what constitutes metamodeling. Proceedings of the asme 2018 international design engineering technical conferences and computers and information in engineering conference. Eclipse can now be used to complete the metamodeling with eclipse tutorial.
A major obstacle for domain experts who want to build a metamodel is that they must master two radically different languages. This is the basis of metamodeling, which we discuss in this chapter. User manual and tutorial are also included in the download file of conceptbase. Open group in the united states and other countries. Development of parallel 3d rkpm meshless bulk forming simulation system. Metamodelingbased fast optimization of nanoscale amssocs. Yang, zhuo, eddy, douglas, krishnamurty, sundar, grosse, ian, and lu, yan.
Following a selfcontained mini tutorial on krigingbased approximation and optimization, the functionalities of both packages are detailed and demonstrated in two distinct sections. Pdf the elements of an enterprise are managed more and more. As its name implies, this concept applies the notions of meta and modeling. Download fulltext pdf regionalization of groundwater residence time using metamodeling article pdf available in water resources research june 2018 with 146 reads. Download fulltext pdf gaussian process metamodeling applied to a circulation control wing conference paper pdf available june 2008 with reads. Sep 21, 2010 learn how to extend the eclipse modeling framework emf ecore metamodel by adding elements and attributes to model reusable java snippets. The goal of the paper at hand is to provide an insight into these application areas. Also see, step by step, how to use dynamic templates with jet to generate the implementation code for the extended model elements. In both cases, the metamodels produced are intuitively reasonable and also pass tests of validity. Proceedings of the winter simulation conference, pp. The abstract syntax defines the set of uml modeling. As its name implies, this concept applies the notions. In this study, a novel metamodeling approach is applied to derive a single metamodel that incorporates twelve timetemperature parameters eight existing and four new timetemperature parameter models are exploited.
Metamodeling advanced software engineering course 20142015. Support facilities for defining primitive concepts, such as entity, activity, goal within the metamodel. The full version of the paper can be downloaded from. Metamodeling identifies the underlying modeling process and provides tools and techniques for model development that will allow students and researchers to sort through the many different methods, understand them, and apply them to new problems. Savings of about 1py year through test file generation. Consequently, models represented in concrete metamodels have to be imported into. One principle of conceptual modeling is that domain objects are instances of entity types. Metamodeling the requirements of web systems springerlink.
A formal definition of a common mofbased metamodel that specifies the abstract syntax of the uml. We present two recently released r packages, dicekriging and diceoptim, for the approximation and the optimization of expensivetoevaluate deterministic functions. A supermetamodeling framework to optimize system predictability. The definition of a metamodel that precisely captures domain knowledge for effective knowhow capitalization is a challenging task. This tutorial will provide an accessible view to metamodeling for the beginner. Metamodeling is very important in the field of information systems, particularly in conceptual modeling.
Application of metamodeling to the valuation of large variable annuity portfolios. Running eclipse should now start up the editor with any changes you have made. A metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels. I expensive simulation or computation i no physical or computational model, only data is available i presence of. This book is a venture in the worlds of modeling and of metamodeling. Learn how to extend the eclipse modeling framework emf ecore metamodel by adding elements and attributes to model reusable java snippets. Metamodeling lightweight data compression algorithms and. And see the very good advanced tutorial by staum 2009. Using the metamodeling characterization, the book surveys and classifies a large number of. Metamodeling architecture of web ontology languages.
Lecture notes in business information processing, vol 1. A metamodel typically defines the languages and processes from which to form. Development of metamodeling based optimization system for high nonlinear engineering problems. User manual and tutorials the user manual is available both in html and pdf format. Transformation of models into a generic metamodel core. A good starting point to get this knowledge is the family tree example in the evaluation tutorial. Naive metamodeling may also be misleading about the relative importance of inputs, thereby skewing resourceallocation decisions. From multiscale modeling to metamodeling of geomechanics. Jonathan sprinkle1, bernhard rumpe2, hans vangheluwe3. Author links open overlay panel ludmilla werbos a robert kozma b rodrigo silvalugo b giovanni e. The work contributes to the emerging understanding of.
A technique called metamodeling has the ability to address this problem. Motivated metamodels can greatly mitigate such problems. Metamodeling and the criticbased approach to multilevel optimization. Modern consumer electronic systems are mostly based on analog and digital circuits and are designed as analogmixedsignal systems on chip amssocs.
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