Platform Independent Model Transformation Based on Triple

Billig, Andreas; Busse, Susanne; Leicher, Andreas; Süß, Jörn Guy

doi:10.1007/978-3-540-30229-2_26

Cited by 10 publications

(14 citation statements)

References 11 publications

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“…Billig et al [10] use TRIPLE to generate mappings between a PIM and a PSM describing user requirements as input. It comprises a transformation from MMTS into OTS (TRIPLE), the generation of the mappings, the transformation into a PSM under OTS and the transformation OTS to MMTS of the PSM.…”

Section: Model Enrichmentmentioning

confidence: 99%

On marrying ontological and metamodeling technical spaces

Parreiras

Staab

Winter

2007

Proceedings of the the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the F

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In software engineering, the use of models and metamodeling approaches (e.g., MDA with MOF/UML) for purposes such as software design or software validation is an established practice. Ontologies constitute domain models formalized using expressive logic languages for class definitions and rules. Hence, when seen from an abstract point of view, the two paradigms and their various technological spaces seem closely related. However, in the state-of-the-art research and practice the two technologies are just beginning to converge and the relationship between the two is still under exploration. In this paper, we give an outline of current ontology technologies, such as the Semantic Web standards for a Web Ontology Language (OWL). Then, we describe a domain analysis of the different technical spaces, explaining the features of the different paradigms. Eventually, we describe some avenues for integrating various ontological technical spaces into meta modeling technical spaces.

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Section: Model Enrichmentmentioning

confidence: 99%

On marrying ontological and metamodeling technical spaces

Parreiras

Staab

Winter

2007

Proceedings of the the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the F

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“…A framework for improving model reuse is provided in [7]. A customized mapping between models and source code is generated according to specific requirements.…”

Section: Related Workmentioning

confidence: 99%

Automatic Derivation of a Product Performance Model from a Software Product Line Model

Tawhid

Petriu

2011

2011 15th International Software Product Line Conference

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We propose to integrate performance analysis in the early phases of the model-driven development process for Software Product Lines (SPL). We start with a multi-view UML model of the core family assets representing the commonality and variability between different products, which we call the SPL model. We add another perspective to the SPL model, annotating it with generic performance specifications expressed in the standard UML profile MARTE, recently adopted by OMG. The runtime performance of a product is affected by factors contained in the UML model of the product (derived from the SPL model), but also by external factors depending on the implementation and execution environments. The external factors not contained in the SPL model need to be eventually represented in the performance model. In order to do so, we propose to represent the variability space of different possible implementation and execution environments through a so called "performance completion (PC) feature model". These PC features are mapped to MARTE performancerelated stereotypes and attributes attached to the SPL model elements. A first model transformation realized in the Atlas Transformation Language (ATL) derives the UML model of a specific product with concrete MARTE annotations from the SPL model. A second transformation generates a Layered Queueing Network (LQN) performance model for the given product by applying an existing transformation named PUMA, developed in previous work. The proposed technique is illustrated with an e-commerce case study. A LQN model is derived for a product and the impact of different levels of secure communication channels on its performance is analyzed by using the LQN model.

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“…In this work, we developed the transformation rules manually through observation and domain analysis. Automated ways of deriving transformation rules is an active area of research [1].…”

Section: Transformation Authoringmentioning

confidence: 99%