Models, More Models, and Then a Lot More

Babur, Önder; Cleophas, Loek; Brand, Mark van den; Tekinerdoğan, Bedir; Akşit, Mehmet

doi:10.1007/978-3-319-74730-9_10

Cited by 11 publications

(14 citation statements)

References 19 publications

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“…Model-driven Engineering (MDE) is being used for engineering evermore numerous and complex systems [73]. Recent studies evince its increasing adoption by industry, but also report on the scalability issues that this entails in terms of size, variety, complexity and maintenance of the artefacts involved in MDE-based solutions [5,27,48,51]. In this scenario, model transformations (MTs) are also becoming more and more complex pieces of software.…”

Section: Introductionmentioning

confidence: 99%

Comparing and classifying model transformation reuse approaches across metamodels

et al. 2019

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Model transformations are essential elements of Model-driven Engineering (MDE) solutions, as they enable the automatic manipulation of models. MDE promotes the creation of domain-specific metamodels, but without proper reuse mechanisms, model transformations need to be developed from scratch for each new metamodel. In this paper, our goal is to understand whether transformation reuse across metamodels is needed by the community, evaluate its current state, identify practical needs and propose promising lines for further research. For this purpose, we first report on a survey to understand the reuse approaches used currently in practice and the needs of the community. Then, we propose a classification of

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Section: Introductionmentioning

confidence: 99%

Comparing and classifying model transformation reuse approaches across metamodels

et al. 2019

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“…In this sense, [21] defended the need for artifact models. According to [22] these artifacts should be viewed as data to which apply "classical" data analysis exploitation techniques (e.g., those coming from the information retrieval community).…”

Section: Tool and Implementation Challengesmentioning

confidence: 99%

Grand challenges in model-driven engineering: an analysis of the state of the research

et al. 2020

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In 2017 and 2018, two events were held-in Marburg, Germany, and San Vigilio di Marebbe, Italy, respectively-focusing on an analysis of the state of research, state of practice, and state of the art in model-driven engineering (MDE). The events brought together experts from industry, academia, and the open-source community to assess what has changed in research in MDE over the last 10 years, what challenges remain, and what new challenges have arisen. This article reports on the results of those meetings, and presents a set of grand challenges that emerged from discussions and synthesis. These challenges could lead to research initiatives for the community going forward. Keywords Model-driven engineering • Grand challenge • Research roadmap 1 Introduction The field of model-driven engineering [1] (MDE) has evolved substantially from the earliest work on UML in the 1990s, through to seminal research on metamodeling, model transformation, and model management in the earlyto-mid-2000s. MDE has made incredible contributions to leverage abstraction and automation in almost every area of software and systems development and analysis. In many domains, including railway systems, automotive, business process engineering, and embedded systems, models are key to success in modern software engineering processes. How-Communicated by Bernhard Rumpe.

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“…Model-driven engineering (MDE) promotes the use of models (and metamodels to which they conform) as central artifacts in the software development process 1 . This eases development and maintenance of software artifacts (including source code generated from models), yet increasing MDE adoption leads to an abundance of models in use.…”

Section: Introductionmentioning

confidence: 99%

“…This eases development and maintenance of software artifacts (including source code generated from models), yet increasing MDE adoption leads to an abundance of models in use. Some examples of this include the academic efforts to gather models in repositories, and large-scale MDE practices in the industry [1][2][3]. This leads to challenges in the management and maintenance of those artifacts.…”

Section: Introductionmentioning

confidence: 99%

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Babur

Cleophas

Brand

2019

Journal of Computer Languages

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Models, More Models, and Then a Lot More

Cited by 11 publications

References 19 publications

Comparing and classifying model transformation reuse approaches across metamodels

Comparing and classifying model transformation reuse approaches across metamodels

Grand challenges in model-driven engineering: an analysis of the state of the research

Metamodel clone detection with SAMOS

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