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Understanding Service Composition with Non-Functional Properties using Declarative Model-to-Model Transformation

Petter, Andreas and Borgert, Stephan and Aitenbichler, Erwin and Behring, Alexander and Mühlhäuser, Max (2011):
Understanding Service Composition with Non-Functional Properties using Declarative Model-to-Model Transformation.
In: BRAIN. Broad Research in Artificial Intelligence and Neuroscience, pp. 130-146, 1 (2010), ISSN 2067-3957,
[Article]

Abstract

Developing applications comprising service composition is a complex task. Therefore, to lower the skill barrier for developers, it is im- portant to describe the problem at hand on an abstract level and not to focus on implementation details. This can be done using declarative programming which allows to describe only the result of the problem (which is what the developer wants) rather than the description of the implementation. We therefore use purely declarative model-to-model transformations written in a universal model transformation language which is capable of handling even non functional properties using optimization and mathematical programming. This makes it easier to understand and describe service composition and non- functional properties for the developer.

Item Type: Article
Erschienen: 2011
Creators: Petter, Andreas and Borgert, Stephan and Aitenbichler, Erwin and Behring, Alexander and Mühlhäuser, Max
Title: Understanding Service Composition with Non-Functional Properties using Declarative Model-to-Model Transformation
Language: English
Abstract:

Developing applications comprising service composition is a complex task. Therefore, to lower the skill barrier for developers, it is im- portant to describe the problem at hand on an abstract level and not to focus on implementation details. This can be done using declarative programming which allows to describe only the result of the problem (which is what the developer wants) rather than the description of the implementation. We therefore use purely declarative model-to-model transformations written in a universal model transformation language which is capable of handling even non functional properties using optimization and mathematical programming. This makes it easier to understand and describe service composition and non- functional properties for the developer.

Journal or Publication Title: BRAIN. Broad Research in Artificial Intelligence and Neuroscience
Volume: 1 (2010)
Uncontrolled Keywords: declarativity, business processes, model-to-model transformation
Divisions: 20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Date Deposited: 16 Mar 2015 16:40
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