A Multidimensional Approach for Concurrent Model-Driven Automation Engineering

2011 ◽  
pp. 90-113 ◽  
Author(s):  
Sebastian Rose ◽  
Marius Lauder ◽  
Michael Schlereth ◽  
Andy Schürr
Keyword(s):  
Graph Grammar ◽  
Modeling Languages ◽  
Graph Grammars ◽  
Modeling Tools ◽  
Model Driven ◽  
Domain Specific ◽  
Management Group ◽  
Domain Specific Modeling ◽  
Design Activities ◽  
Synchronization Mechanisms

Automation engineering heavily relies on concurrent model-driven design activities across multiple disciplines. The customization and integration of domain-specific modeling languages and tools play an important role. This contribution introduces a conceptual framework for this purpose that combines the modeling standards of the Object Management Group (OMG) with precisely defined specification techniques based on metamodeling and graph grammars. The main focus is on the development of synchronization mechanisms between modeling tools and on the presentation of some extensions of the underlying graph grammar formalism motivated by its application to a real-world scenario. These techniques are presented by a case study about the application of graph grammars within automation engineering.

On Developing Hybrid Modeling Methods using Metamodeling Platforms

2015 ◽  
Vol 6 (1) ◽  
pp. 47-66
Author(s):  
Srdjan Zivkovic ◽  
Krzystof Miksa ◽  
Harald Kühn
Keyword(s):  
Complex Systems ◽  
Hybrid Modeling ◽  
Modeling Languages ◽  
Modeling Tools ◽  
Analysis And Design ◽  
Domain Specific ◽  
Modeling Methods ◽  
Model Based ◽  
Domain Specific Modeling ◽  
Specific Modeling

It has been acknowledged that model-based approaches and domain-specific modeling (DSM) languages, methods and tools are beneficial for the engineering of increasingly complex systems and software. Instead of general-purpose one-size-fits-all modeling languages, DSM methods facilitate model-based analysis and design of complex systems by providing modeling concepts tailored to the specific problem domain. Furthermore, hybrid DSM methods combine single DSM methods into integrated modeling methods, to allow for multi-perspective modeling. Metamodeling platforms provide flexible means for design and implementation of such hybrid modeling methods and appropriate domain-specific modeling tools. In this paper, we report on the conceptualization of a hybrid DSM method in the domain of network physical devices management, and its implementation based on the ADOxx metamodeling platform. The method introduces a hybrid modeling approach. A dedicated DSM language (DSML) is used to model the structure of physical devices and their configurations, whereas the formal language for knowledge representation OWL2 is used to specify configuration-related constraints. The outcome of the work is a hybrid, semantic technology-enabled DSM tool that allows for efficient and consistency-preserving model-based configuration of network equipment.

Quantitative Productivity Analysis of a Domain-Specific Modeling Language

2015 ◽  
pp. 313-344
Author(s):  
Joe Hoffert ◽  
Douglas C. Schmidt ◽  
Aniruddha Gokhale
Keyword(s):  
Ease Of Use ◽  
Alternative Methods ◽  
Modeling Language ◽  
Modeling Languages ◽  
Productivity Analysis ◽  
Model Driven ◽  
Domain Specific ◽  
Productivity Gain ◽  
Domain Specific Modeling ◽  
Specific Modeling

Model-Driven Engineering (MDE), in general, and Domain-Specific Modeling Languages (DSMLs), in particular, are increasingly used to manage the complexity of developing applications in various domains. Although many DSML benefits are qualitative (e.g., ease of use, familiarity of domain concepts), there is a need to quantitatively demonstrate the benefits of DSMLs (e.g., quantify when DSMLs provide savings in development time) to simplify comparison and evaluation. This chapter describes how the authors conducted quantitative productivity analysis for a DSML (i.e., the Distributed Quality-of-Service [QoS] Modeling Language [DQML]). The analysis shows (1) the significant quantitative productivity gain achieved when using a DSML to develop configuration models compared with not using a DSML, (2) the significant quantitative productivity gain achieved when using a DSML interpreter to automatically generate implementation artifacts as compared to alternative methods when configuring application entities, and (3) the viability of quantitative productivity metrics for DSMLs.

scholarly journals Supporting the platform extensibility for the model-driven development of agent systems by the interoperability between domain-specific modeling languages of multi-agent systems

2017 ◽  
Vol 14 (3) ◽  
pp. 875-912 ◽  
Author(s):  
Geylani Kardas ◽  
Emine Bircan ◽  
Moharram Challenger
Keyword(s):  
Conventional Approach ◽  
Modeling Languages ◽  
Multi Agent Systems ◽  
Model Driven Development ◽  
Agent Systems ◽  
Model Driven ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Multi Agent ◽  
Specific Modeling

The conventional approach currently followed in the development of domain-specific modeling languages (DSMLs) for multi-agent systems (MASs) requires the definition and implementation of new model-to-model and model-totext transformations from scratch in order to make the DSMLs functional for each different agent execution platforms. In this paper, we present an alternative approach which considers the construction of the interoperability between MAS DSMLs for a more efficient way of platform support extension. The feasibility of using this new interoperability approach instead of the conventional approach is exhibited by discussing and evaluating the model-driven engineering required for the application of both approaches. Use of the approaches is also exemplified with a case study which covers the model-driven development of an agent-based stock exchange system. In comparison to the conventional approach, evaluation results show that the interoperability approach requires both less development time and effort considering design and implementation of all required transformations.

Productivity Analysis of the Distributed QoS Modeling Language

2011 ◽  
pp. 156-176
Author(s):  
Joe Hoffert ◽  
Douglas C. Schmidt ◽  
Aniruddha Gokhale
Keyword(s):  
Ease Of Use ◽  
Alternative Methods ◽  
Modeling Language ◽  
Modeling Languages ◽  
Productivity Analysis ◽  
Model Driven ◽  
Domain Specific ◽  
Productivity Gain ◽  
Domain Specific Modeling

Model-driven engineering (MDE), in general, and Domain-Specific Modeling Languages (DSMLs), in particular, are increasingly used to manage the complexity of developing applications in various domains. Although many DSML benefits are qualitative (e.g., ease of use, familiarity of domain concepts), there is a need to quantitatively demonstrate the benefits of DSMLs (e.g., quantify when DSMLs provide savings in development time) to simplify comparison and evaluation. This chapter describes how the authors conducted productivity analysis for the Distributed Quality-of-Service (QoS) Modeling Language (DQML). Their analysis shows (1) the significant productivity gain using DQML compared with alternative methods when configuring application entities and (2) the viability of quantitative productivity metrics for DSMLs.

Android Executable Modeling

2016 ◽  
pp. 269-283
Author(s):  
Olivier Le Goaer ◽  
Franck Barbier ◽  
Eric Cariou
Keyword(s):  
Modeling Languages ◽  
Key Factors ◽  
Model Driven ◽  
Domain Specific ◽  
Android Os ◽  
Execution Engine ◽  
Domain Specific Modeling ◽  
Fast Development ◽  
Programming Effort ◽  
Model Execution

Within the model-driven engineering field, model execution consists in interpreting the model through a dedicated execution engine instead of executing a code based on, or generated from, the model. The class of modeling languages endowed with such executability is called i-DSML (interpreted Domain-Specific Modeling Language). This is an important development shift because a modeling effort seamlessly substitutes to a programming effort. This alternative way for building increasingly complex software is particularly beneficial to the mobile applications market where fast development and agility are recognized as key factors of success. This chapter illustrates how parts of an Android mobApp can be modeled and executed by leveraging a well-known i-DSML, namely UML 2 State Machine Diagrams and the PauWare engine thereof. Beyond this specific case, the proposed installation of PauWare on Android OS sets up the foundation for a whole range of mobApps, provided that they are modeled with the Statecharts formalism.

scholarly journals System Integration Using Model-Driven Engineering

2009 ◽  
pp. 474-504 ◽  
Author(s):  
Krishnakumar Balasubramanian ◽  
Douglas C. Schmidt ◽  
Zoltán Molnár ◽  
Ákos Lédeczi
Keyword(s):  
Distributed Systems ◽  
System Integration ◽  
Functional Integration ◽  
Modeling Languages ◽  
Model Driven ◽  
Domain Specific ◽  
Component Middleware ◽  
Domain Specific Modeling ◽  
Commercial Off The Shelf ◽  
Integration Problems

With the emergence of commercial-off-the-shelf (COTS) component middleware technologies software system integrators are increasing faced with the task of integrating heterogeneous enterprise distributed systems built using different COTS technologies. Although there are well-documented patterns and techniques for system integration using various middleware technologies, system integration is still largely a tedious and error-prone manual process. This chapter provides three contributions to the study of functional integration of distributed enterprise systems. First, we describe the challenges associated with functionally integrating software for these types of systems. Second, we describe how the composition of domain-specific modeling languages (DSMLs) can simplify the functional integration of enterprise distributed systems. Third, we demonstrate how composing DSMLs can solve functional integration problems in an enterprise distributed system case study by reverse engineering an existing CCM system and exposing it as Web service(s) to Web clients who use these services.

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