VisTML: A Visual Modeling Language for Model Transformation

2011 ◽  
Author(s):  
He Xiao ◽  
Ma Zhiyi ◽  
Liu Yi ◽  
Chen Hongjie ◽  
Shao Weizhong
Keyword(s):  
Model Transformation ◽  
Modeling Language ◽  
Visual Modeling

Visual Modeling and Simulation Research of a Kind of On-Orbit Servicing Spacecraft

2014 ◽  
Vol 538 ◽  
pp. 184-188
Author(s):  
Bing Shuai Li ◽  
Jian Xin Zhang ◽  
Qiang Zhang ◽  
Xiao Peng Wei
Keyword(s):  
Model Transformation ◽  
Model Building ◽  
Universal Method ◽  
Simulation Approach ◽  
Post Processing ◽  
Simulation Research ◽  
Visual Modeling ◽  
Software Model ◽  
Aerospace Technology ◽  
Task Simulation

On-orbit servicing technology is a novel aerospace technology, which has important economic and military value. Reference to two on-orbit servicing programs named Orbital Express and Phoenix, the paper provides visual modeling and on-orbit module replacement simulation approach for a type of spacecraft based on satellite tool kit (STK). A kind of universal method for STK model building is presented, which includes multi-software model transformation and manual encoding. Some key problems about model integration and post processing, that helps complex STK model building, has also been summarized. An on-orbit replacement task simulation system based on co-simulation of MATLAB and STK can provide effective technical support for the aerospace program.

coUML

2008 ◽  
pp. 154-182 ◽  
Author(s):  
Michael Derntl ◽  
Renate Motschnig-Pitrik
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Modeling Language ◽  
Visual Modeling ◽  
Current State ◽  
Instructional Environments ◽  
Detailed Specification

In this chapter we present coUML, a visual modeling language for cooperative environments. As modern instructional environments have a highly cooperative nature, coUML is proposed as a powerful and effective language for modeling instructional designs in such environments. Being based on UML, it was conceived and refined through application and experience over multiple years, primarily in a cooperative blended learning environment. We present relevant requirements and applications that contributed to the development of coUML, as well as a detailed specification of model elements, characteristics and features that describe its current state.

POSAML: A visual modeling language for middleware provisioning

2007 ◽  
Vol 18 (4) ◽  
pp. 359-377 ◽  
Author(s):  
Aniruddha Gokhale ◽  
Dimple Kaul ◽  
Arundhati Kogekar ◽  
Jeff Gray ◽  
Swapna Gokhale
Keyword(s):  
Modeling Language ◽  
Visual Modeling

Metamodel-driven definition of a visual modeling language for specifying interactive groupware applications: An empirical study

2013 ◽  
Vol 86 (7) ◽  
pp. 1772-1789 ◽  
Author(s):  
Ana I. Molina ◽  
Jesús Gallardo ◽  
Miguel A. Redondo ◽  
Manuel Ortega ◽  
William J. Giraldo
Keyword(s):  
Empirical Study ◽  
Modeling Language ◽  
Visual Modeling ◽  
Definition Of

scholarly journals An RVML extension for modeling fuzzy rule bases

2021 ◽  
Author(s):  
N.O. Dorodnykh ◽  
A.Y. Yurin
Keyword(s):  
Code Generation ◽  
Expert Knowledge ◽  
Source Code ◽  
Fuzzy Rule ◽  
Modeling Language ◽  
Uncertain Information ◽  
Semantic Technologies ◽  
Visual Modeling ◽  
Effective Use ◽  
Rule Bases

Rules are still the most widespread way to represent expert knowledge despite the popularity of semantic technologies. The effective use of rules in decision-making in the case of inaccurate or uncertain information requires the development of specialized means and software for visual and generative programming. This paper considers an extension of the Rule Visual Modeling Language called FuzzyRVML designed for modeling fuzzy rule bases. FuzzyRVML supports a fuzzy datatype, concepts of a linguistic variable, terms, and certainty factors. The descriptions of FuzzyRVML basic elements, main constructions, and an illustrative example containing FuzzyCLIPS source code generation are presented. The evaluation and implementation of this notation are made based on the Personal Knowledge Base Designer software.

coUML

2011 ◽  
pp. 758-788
Author(s):  
Michael Derntl ◽  
Renate Motschnig-Pitrik
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Modeling Language ◽  
Visual Modeling ◽  
Current State ◽  
Instructional Environments ◽  
Detailed Specification

In this chapter we present coUML, a visual modeling language for cooperative environments. As modern instructional environments have a highly cooperative nature, coUML is proposed as a powerful and effective language for modeling instructional designs in such environments. Being based on UML, it was conceived and refined through application and experience over multiple years, primarily in a cooperative blended learning environment. We present relevant requirements and applications that contributed to the development of coUML, as well as a detailed specification of model elements, characteristics and features that describe its current state.

Evolution in Model-Driven Software Product-Line Architectures

2009 ◽  
pp. 1280-1312 ◽  
Author(s):  
Gan Deng ◽  
Jeff Gray ◽  
Douglas C. Schmidt ◽  
Yuehua Lin ◽  
Aniruddha Gokhale ◽  
...  
Keyword(s):  
Model Transformation ◽  
Software Product Line ◽  
Product Line ◽  
Domain Model ◽  
Modeling Language ◽  
Model Driven ◽  
Transformation Rules ◽  
Domain Evolution ◽  
Software Product

This chapter describes our approach to modeldriven engineering (MDE)-based product line architectures (PLAs) and presents a solution to address the domain evolution problem. We use a case study of a representative software-intensive system from the distributed real-time embedded (DRE) systems domain to describe key challenges when facing domain evolution and how we can evolve PLAs systematically and minimize human intervention. The approach uses a mature metamodeling tool to define a modeling language in the representative DRE domain, and applies a model transformation tool to specify model-tomodel transformation rules that precisely define metamodel and domain model changes. Our approach automates many tedious, time consuming, and error-prone tasks of model-to-model transformation, thus significantly reducing the complexity of PLA evolution.

Sign in / Sign up

Export Citation Format

Share Document