The OpenModelica integrated environment for modeling, simulation, and model-based development

OpenModelica is a unique large-scale integrated open-source Modelica- and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as debugging; optimization; visualization and 3D animation; web-based model editing and simulation; scripting from Modelica, Python, Julia, and Matlab; efficient simulation and co-simulation of FMI-based models; compilation for embedded systems; Modelica- UML integration; requirement verification; and generation of parallel code for multi-core architectures. The environment is based on the equation-based object-oriented Modelica language and currently uses the MetaModelica extended version of Modelica for its model compiler implementation. This overview paper gives an up-to-date description of the capabilities of the system, short overviews of used open source symbolic and numeric algorithms with pointers to published literature, tool integration aspects, some lessons learned, and the main vision behind its development.Fil: Fritzson, Peter. Linköping University; SueciaFil: Pop, Adrian. Linköping University; SueciaFil: Abdelhak, Karim. Fachhochschule Bielefeld; AlemaniaFil: Asghar, Adeel. Linköping University; SueciaFil: Bachmann, Bernhard. Fachhochschule Bielefeld; AlemaniaFil: Braun, Willi. Fachhochschule Bielefeld; AlemaniaFil: Bouskela, Daniel. Electricité de France; FranciaFil: Braun, Robert. Linköping University; SueciaFil: Buffoni, Lena. Linköping University; SueciaFil: Casella, Francesco. Politecnico di Milano; ItaliaFil: Castro, Rodrigo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Franke, Rüdiger. Abb Group; AlemaniaFil: Fritzson, Dag. Linköping University; SueciaFil: Gebremedhin, Mahder. Linköping University; SueciaFil: Heuermann, Andreas. Linköping University; SueciaFil: Lie, Bernt. University of South-Eastern Norway; NoruegaFil: Mengist, Alachew. Linköping University; SueciaFil: Mikelsons, Lars. Linköping University; SueciaFil: Moudgalya, Kannan. Indian Institute Of Technology Bombay; IndiaFil: Ochel, Lennart. Linköping University; SueciaFil: Palanisamy, Arunkumar. Linköping University; SueciaFil: Ruge, Vitalij. Fachhochschule Bielefeld; AlemaniaFil: Schamai, Wladimir. Danfoss Power Solutions GmbH & Co; AlemaniaFil: Sjolund, Martin. Linköping University; SueciaFil: Thiele, Bernhard. Linköping University; SueciaFil: Tinnerholm, John. Linköping University; SueciaFil: Ostlund, Per. Linköping University; Sueci

Model-Based Verification of Dynamic System Behavior against Requirements Method, Language, and Tool

Electronic version available at

Modelica Modeling Language (ModelicaML) : A UML Profile for Modelica

This document presents the Modelica Modeling Language (ModelicaML) a UML Profile for Modelica. The purpose of the ModelicaML is to enable an efficient and effective way to create, read or understand, and maintain Modelica models. ModelicaML is defined as a graphical notation and facilitates different views (composition, inheritance, behavior) on Modelica models. It is based on a subset of the OMG Unified Modeling Language (UML) and reuses concepts from the OMG Systems Modeling Language (SysML). ModelicaML is defined towards generation of executable Modelica code from graphical models

Platform-independent modeling of explicitly parallel programs

We propose a model-driven approach to parallel programming of SPMD-style, explicitly parallel computations. We define an executable, platform-independent modeling language with explicitly parallel control and data flow for an abstract parallel computer with shared address space, and implement it as an extension of UML2 activity diagrams and a generator for Fork source code that can be compiled and executed on a high-level abstract parallel machine simulator. We also sketch how to refine the modeling language to address more realistic parallel platforms

Platform-independent modeling of explicitly parallel programs

We propose a model-driven approach to parallel programming of SPMD-style, explicitly parallel computations. We define parallel computer with shared address space, and implement it as an extension of UML2 activity diagrams and a generator for Fork source code that can be compiled and executed on a high-level abstract parallel machine simulator. We also sketch how to refine the modeling language to address more realistic parallel platforms

An Approach to Automated Model Composition Illustrated in the Context of Design Verification

Building complex systems form models that were developed separately without modifying existing code is a challenging task faced on a regular basis in multiple contexts, for instance, in design verification. To address this issue, this paper presents a new approach for automating the dynamic system model composition. The presented approach aims to maximise information reuse, by defining the minimum set of information that is necessary to the composition process, to maximise decoupling by removing the need for explicit interfaces and to present a methodology with a modular and structured approach to composition. Moreover the presented approach is illustrated in the context of system design verification against requirements using a Modelica environment, and an approach for expressing the information necessary for automating the composition is formalized

Towards unified system modeling and simulation with ModelicaML: Modeling of executable behavior using graphical notations

This paper is a further step towards application of the Model-Based Systems Engineering (MBSE) paradigm, using standardized, graphical, and executable system modeling languages. It presents further development of Modelica graphical Modeling Language (ModelicaML), a UML Profile for Modelica, which enables an integrated modeling and simulation of system requirements and design (for systems including both hardware and software). This approach combines the power of the OMG UML/SysML standardized graphical notation for system and software modeling, and the modeling and simulation power of Modelica. It facilitates the creation of executable system-specification and analysis models that can simulate time-discrete (or eventbased) and time-continuous system behavior

ModelicaML Value Bindings for Automated Model Composition

Virtual Verification of Designs against Requirements (vVDR) is a method for model-based system design verification. This paper discusses enhancements to the vVDR method and its implementation in ModelicaML to further improve the support of system verification activities by automation. In the vVDR method there are different kinds of models that are created independently. However, they will become dependent and need to be related to each other in some concrete verification context. The aim is to reduce modeling errors and modeling efforts by automatically composing verification models from their constituting sub-models based on data dependencies that are defined using so-called mediators, which allow the expression of data dependencies between models without affecting, i.e. changing, the models themselves

Virtual Verification of System Designs against System Requirements

System development and integration with a sufficient maturity at entry into service is a competitive challenge in the aerospace sector. With the ever-increasing complexity of products, this can only be achieved using efficient model-based techniques for system design as well as for system testing. However, natural language requirements engineering is an established technique that cannot be completely replaced for a number of reasons. This is a fact that has to be considered by any new approach. Building on the general idea of model-based systems engineering, we aim at building an integrated virtual verification environment for modeling systems, requirements, and test cases, so that system designs can be simulated and verified against the requirements in the early stages of system development. This paper provides a description of the virtual verification of system designs against system requirements methodology and exemplifies its application in a ModelicaML modeling environment