A Field Study of Modellers at Work

Kalliamvakou, Eirini; Palyart, Marc; Murphy, Gail C.; Damian, Daniela

doi:10.1109/mise.2015.12

Cited by 3 publications

(2 citation statements)

References 11 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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“…3). The current analysis emerges from experience and is in line with other efforts [4,16,30,31,37,42] to capitalize on insights, awareness and best practices obtained from concrete settings.…”

Section: Lessons Learnedmentioning

confidence: 73%

On the use of models for high-performance scientific computing applications: an experience report

et al. 2016

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This paper reports on a four-year project that aims to raise the abstraction level through the use of model driven engineering (MDE) techniques in the development of scientific applications relying on high-performance comput ing. The development and maintenance of high-performance scientific computing software is reputedly a complex task. This complexity results from the frequent evolutions of supercomputers and the tight coupling between software and hardware aspects. Moreover, current parallel programming approaches result in a mixing of concems within the source code. Our approach relies on the use of MDE and consists in defining domain-specific modeling languages targeting var ious domain experts involved in the development of HPC applications, allowing each of them to handle their dedicated mode! in a both user-friendly and hardware-independent way. The different concems are separated thanks to the use of several models as well as several modeling viewpoints on these models. Depending on the targeted execution plat forms, these abstract models are translated into executable implementations by means of mode! transformations. To make ail of these effective, we have developed a tool chain Communicated by Prof. Dorina Petriu.

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Collaborative Modelling with Version Control

Kelly¹

2018

Software Technologies: Applications and Foundations

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A Field Study of Modellers at Work

Cited by 3 publications

References 11 publications

Comparing and classifying model transformation reuse approaches across metamodels

Comparing and classifying model transformation reuse approaches across metamodels

On the use of models for high-performance scientific computing applications: an experience report

Collaborative Modelling with Version Control

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