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Related papers: GMF: A Model Migration Case for the Transformation…

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This paper gives an overview of the Edapt solution to the GMF model migration case of the Transformation Tool Contest 2011.

Software Engineering · Computer Science 2011-11-22 Markus Herrmannsdoerfer

The aim of the Transformation Tool Contest (TTC) series is to compare the expressiveness, the usability and the performance of graph and model transformation tools along a number of selected case studies. Participants want to learn about…

Software Engineering · Computer Science 2011-11-21 Pieter Van Gorp , Steffen Mazanek , Louis Rose

This case for the Transformation Tool Contest 2013 is about evaluating the scope and usability of transformation languages and tools for a set of four tasks requiring very different capabilities. One task deals with typical model-to-model…

Software Engineering · Computer Science 2013-12-03 Tassilo Horn

This case comprises several primitive tasks that can be solved straight away with most transformation tools. The aim is to cover the most important kinds of primitive operations on models, i.e. create, read, update and delete (CRUD). To…

Software Engineering · Computer Science 2011-11-22 Steffen Mazanek

In this paper we apply the UML-RSDS notation and tools to the GMF model migration case study and explain how to use the UML-RSDS tools.

Software Engineering · Computer Science 2011-11-22 K. Lano , S. Kolahdouz-Rahimi

The Eclipse Graphical Modeling (GMF) Framework provides the major approach for implementing visual languages on top of the Eclipse platform. GMF relies on a family of modeling languages to describe different aspects of the visual language…

Software Engineering · Computer Science 2010-07-01 Davide Di Ruscio , Ralf Lämmel , Alfonso Pierantonio

Software systems are getting more and more complex. Model-driven engineering (MDE) offers ways to handle such increased complexity by lifting development to a higher level of abstraction. A key part in MDE are transformations that transform…

Software Engineering · Computer Science 2013-12-03 Georg Hinkel , Thomas Goldschmidt , Lucia Happe

Model Transformations in Practice (MTiP) 2005 was a workshop which provided a forum for the model transformation community to discuss practical model transformation issues. Although many different model transformation approaches have been…

Software Engineering · Computer Science 2014-09-24 Jean Bézivin , Bernhard Rumpe , Andy Schürr , Laurence Tratt

The aim of the Transformation Tool Contest (TTC) series is to compare the expressiveness, the usability and the performance of graph and model transformation tools along a number of selected case studies. Participants want to learn about…

Software Engineering · Computer Science 2013-12-02 Pieter Van Gorp , Louis M. Rose , Christian Krause

Model driven development envisages the use of model transformations to evolve models. Model transformation languages, developed for this task, are touted with many benefits over general purpose programming languages. However, a large number…

Software Engineering · Computer Science 2022-08-19 Stefan Höppner , Yves Haas , Matthias Tichy , Katharina Juhnke

The paper presents a solution of the Hello World! An Instructive Case for the Transformation Tool Contest using the VIATRA2 model transformation tool.

Software Engineering · Computer Science 2011-11-22 Ábel Hegedus , Zoltán Ujhelyi , Gábor Bergmann

The current paper presents a solution of the Program Understanding: A Reengineering Case for the Transformation Tool Contest using the VIATRA2 model transformation tool.

Software Engineering · Computer Science 2011-11-22 Ábel Hegedus , Zoltán Ujhelyi , Gábor Bergmann

We introduce the graph transformation tool GrGen.NET (www.grgen.net) by solving the Hello World Case of the Transformation Tool Contest 2011 which consists of a collection of small transformation tasks; for each task a section is given…

Programming Languages · Computer Science 2011-11-22 Sebastian Buchwald , Edgar Jakumeit

Despite the general capabilities of pre-trained large language models (LLMs), they still need further adaptation to better serve practical applications. In this paper, we demonstrate the interchangeability of three popular and distinct…

Computation and Language · Computer Science 2024-06-25 Deng Cai , Huayang Li , Tingchen Fu , Siheng Li , Weiwen Xu , Shuaiyi Li , Bowen Cao , Zhisong Zhang , Xinting Huang , Leyang Cui , Yan Wang , Lemao Liu , Taro Watanabe , Shuming Shi

The paper summarises the contributions in a session at GCM 2019 presenting and discussing the use of native and translation-based solutions to common analysis problems for Graph Transformation Systems (GTSs). In addition to a comparison of…

Software Engineering · Computer Science 2019-12-23 Reiko Heckel , Leen Lambers , Maryam Ghaffari Saadat

Recent research has extended methods from the fields of thermodynamics and statistical mechanics into other disciplines. Most notably, one recent work creates a unified theoretical framework to understand evolutionary biology, machine…

Populations and Evolution · Quantitative Biology 2024-05-22 Daniel Sadasivan , Cole Cantu , Cecilia Marsh , Andrew Graham

Dynamically Adaptive Systems modify their behav- ior and structure in response to changes in their surrounding environment and according to an adaptation logic. Critical sys- tems increasingly incorporate dynamic adaptation capabilities;…

Software Engineering · Computer Science 2012-05-28 Alexandre Bartel , Benoit Baudry , Freddy Munoz , Jacques Klein , Tejeddine Mouelhi , Yves Le Traon

This paper considers how a formal mathematically-based model can be used in support of evolutionary software development, and in particular how such a model can be kept consistent with the implementation as it changes to meet new…

Software Engineering · Computer Science 2011-11-14 A. Gravell , Y. Howard , J. C. Augusto , C. Ferreira , S. Gruner

We investigate model assessment and selection in a changing environment, by synthesizing datasets from both the current time period and historical epochs. To tackle unknown and potentially arbitrary temporal distribution shift, we develop…

Machine Learning · Computer Science 2024-06-05 Elise Han , Chengpiao Huang , Kaizheng Wang

Large-scale social digital twinning projects are complex with multiple objectives. For example, a social digital twinning platform for innovative last-mile delivery solutions may aim to assess consumer delivery method choices within their…

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