Model-Driven Development of Model Transformations

Gorp, Pieter Van

doi:10.1007/978-3-540-87405-8_51

Cited by 11 publications

(3 citation statements)

References 119 publications

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“…It has been broadly used in MDD/MDA methods where models and their roles in the development process should change from contemplative (e.g. used for documentation) to productive, thus envisaging transformations from high-level business models focusing on goals, roles and responsibilities down to detailed use-case and scenario models for execution (Van Gorp, 2008). (viii) Model-Based Systems and Service Engineering, which promotes modeling to address many of the limitations of the traditional document-based engineering approach.…”

Section: Technologic Enablers For Lsementioning

confidence: 99%

Sustaining interoperability of networked liquid-sensing enterprises: A complex systems perspective

Agostinho

Jardim-Goncalves

2015

Annual Reviews in Control

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Section: Technologic Enablers For Lsementioning

confidence: 99%

Sustaining interoperability of networked liquid-sensing enterprises: A complex systems perspective

Agostinho

Jardim-Goncalves

2015

Annual Reviews in Control

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“…Shippers et al [25] described an imperative transformation modeling technique based on story-driven modeling (SDM), which leverages UML profiling technology. This technique was later applied to develop the MoTMoT transformation approach, which combines SDM imperative modeling with declarative modeling of TGG rules; the MagicDraw tool was used as a platform to implement this approach [26]. It was proven to be applicable for both M2M modeling and model refactoring tasks [27].…”

Section: Related Workmentioning

confidence: 99%

Extending Drag-and-Drop Actions-Based Model-to-Model Transformations with Natural Language Processing

2020

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Model-to-model (M2M) transformations are among the key components of model-driven development, enabling a certain level of automation in the process of developing models. The developed solution of using drag-and-drop actions-based M2M transformations contributes to this purpose by providing a flexible, reusable, customizable, and relatively easy-to-use transformation method and tool support. The solution uses model-based transformation specifications triggered by user-initiated drag-and-drop actions within the model deployed in a computer-aided software engineering (CASE) tool environment. The transformations are called partial M2M transformations, meaning that a specific user-defined fragment of the source model is being transformed into a specific fragment of the target model and not running the whole model-level transformation. In this paper, in particular, we present the main aspects of the developed extension to that M2M transformation method, delivering a set of natural language processing (NLP) techniques on both the conceptual and implementation level. The paper addresses relevant developments and topics in the field of natural language processing and presents a set of operators that can be used to satisfy the needs of advanced textual preprocessing in the scope of M2M transformations. Also in this paper, we describe the extensions to the previous M2M transformation metamodel necessary for enabling the solution’s NLP-related capabilities. The usability and actual benefits of the proposed extension are introduced by presenting a set of specific partial M2M transformation use cases where natural language processing provides actual solutions to previously unsolvable situations when using the previous M2M transformation development.

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“…It is important to remark that the adoption of the MDE paradigm does not involve discarding the already established technologies, as pointed out in 25. In fact, it relies on previous platforms, providing the means to model them as part of the common knowledge of software development.…”

Section: Models and Transformation Modelsmentioning

confidence: 99%

Towards the systematic measurement of ATL transformation models

et al. 2010

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The Model-Driven Engineering paradigm is aimed at raising the abstraction level of Software Engineering approaches through the systematic use of models as primary artifacts, not only in software design and development, but also to understand, interact, configure, and modify the runtime behavior of software. It tries to overcome the wall between the documentation and the real state of the implementation. For that matter, our long-term goal seeks to reach a higher degree of interoperability among available metamodeling technologies through bridges among technological spaces (TS bridges). The proposed system provides several ATL (ATLAS Transformation Language) transformations that enable the application of measuring operations over ATL transformation models and rules, and the generation of different complementary end-user models, such as SVG charts and (X)HTML reports. For this work, we have evaluated a set of meta-modeling TS bridges among UML, MOF, Ecore, KM3, and Microsoft DSL Tools. These results provide quantitative measurements of the declarative and imperative constructs of these transformations and relative quality factors as well. In addition to this, all the top-level results extracted from the measurement of these TS bridges are merged into one unique model in order to assist in performing a comparative study among them. This comparative study suggests that it is feasible to apply automatic transformations over transformation models, i.e. meta-transformations. In this regard, there are many open research trends towards complete management, validation, optimization, and inference of TS bridges between complementary meta-modeling technologies.TOWARDS THE SYSTEMATIC MEASUREMENT OF ATL MODELS 791 for model-driven transformations and the overall system architecture. In Section 4, we discuss the most relevant results obtained from the measurement of the selected TS bridges. Finally, in Sections 5 and 6 we draw our main conclusions and our planned future work, respectively. MODELS AND TRANSFORMATION MODELSFigure 26. Pattern for MeasureMerge refining transformation.with the set of Java libraries for ATL and EMF; however, we have decided to use the ANT solution because it could be managed as an XML model in future versions, following the MDE vision. Related modeling metricsSome of the already identified potential extension points for our metrics (see Section 6) are the measurement of inheritance, coupling, effectiveness, and other quality factors, as seen in Metrics for Object-Oriented Design (MOOD [54] and MOOD2 [55]), Metrics for Object-Oriented Software Engineering (MOOSE [56] and EMOOSE [57]), and Quality Metrics for Object-Oriented Design (QMOOD [58]). These metrics have been defined with OCL constructs through the FLAME library [49]. In addition to this, these OCL definitions have been integrated into an available ATL use case entitled Models Measurement [38], which is the reference implementation of our proposed approach.The FLAME library was designed to support the calculation of different sets of object-o...

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Model-Driven Development of Model Transformations

Cited by 11 publications

References 119 publications

Sustaining interoperability of networked liquid-sensing enterprises: A complex systems perspective

Sustaining interoperability of networked liquid-sensing enterprises: A complex systems perspective

Extending Drag-and-Drop Actions-Based Model-to-Model Transformations with Natural Language Processing

Towards the systematic measurement of ATL transformation models

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