Model-Driven Development and Adaptation of Autonomous Control Applications

2008 ◽  
Vol 9 (11) ◽  
pp. 2-2 ◽  
Author(s):  
Helge Parzyjegla ◽  
Michael A. Jaeger ◽  
Gero Mühl ◽  
Torben Weis
Keyword(s):  
Autonomous Control ◽  
Control Applications ◽  
Model Driven Development ◽  
Model Driven

scholarly journals Model-Driven Development of Automation and Control Applications: Modeling and Simulation of Control Sequences

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Timo Vepsäläinen ◽  
Seppo Kuikka
Keyword(s):  
Paper Industry ◽  
Complex Model ◽  
Application Development ◽  
Control Applications ◽  
Model Driven Development ◽  
Model Driven ◽  
Control Functions ◽  
Automation And Control ◽  
Active Research ◽  
Control System Model

The scope and responsibilities of control applications are increasing due to, for example, the emergence of industrial internet. To meet the challenge, model-driven development techniques have been in active research in the application domain. Simulations that have been traditionally used in the domain, however, have not yet been sufficiently integrated to model-driven control application development. In this paper, a model-driven development process that includes support for design-time simulations is complemented with support for simulating sequential control functions. The approach is implemented with open source tools and demonstrated by creating and simulating a control system model in closed-loop with a large and complex model of a paper industry process.

Model-Driven Development of Self-organising Control Applications

2011 ◽  
pp. 131-144
Author(s):  
Helge Parzyjegla ◽  
Arnd Schröter ◽  
Enrico Seib ◽  
Sebastian Holzapfel ◽  
Matthäus Wander ◽  
...  
Keyword(s):  
Control Applications ◽  
Model Driven Development ◽  
Model Driven

Model-driven development of composite context-aware web applications

2009 ◽  
Vol 51 (8) ◽  
pp. 1244-1260 ◽  
Author(s):  
Georgia M. Kapitsaki ◽  
Dimitrios A. Kateros ◽  
George N. Prezerakos ◽  
Iakovos S. Venieris
Keyword(s):  
Web Applications ◽  
Context Aware ◽  
Model Driven Development ◽  
Model Driven

scholarly journals Model-driven development platform selection: four industry case studies

2021 ◽  
Author(s):  
Siamak Farshidi ◽  
Slinger Jansen ◽  
Sven Fortuin
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Decision Makers ◽  
Development Activity ◽  
Model Driven Development ◽  
Domain Experts ◽  
Theoretical Contribution ◽  
Model Driven ◽  
Development Platform ◽  
Software Production

AbstractModel-driven development platforms shift the focus of software development activity from coding to modeling for enterprises. A significant number of such platforms are available in the market. Selecting the best fitting platform is challenging, as domain experts are not typically model-driven deployment platform experts and have limited time for acquiring the needed knowledge. We model the problem as a multi-criteria decision-making problem and capture knowledge systematically about the features and qualities of 30 alternative platforms. Through four industry case studies, we confirm that the model supports decision-makers with the selection problem by reducing the time and cost of the decision-making process and by providing a richer list of options than the enterprises considered initially. We show that having decision knowledge readily available supports decision-makers in making more rational, efficient, and effective decisions. The study’s theoretical contribution is the observation that the decision framework provides a reliable approach for creating decision models in software production.

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