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What’s wrong with ATL? (or model transformation languages in general)
Is ATL as good as it seems? Or still has some major problems to overcome? And other languages as well? Have your saying! E.g. I miss a live coding environment! The post What’s wrong with ATL? (or model...
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Efficient Model Partitioning for Distributed Model Transformations
We propose a data distribution algorithm for declarative model transformation based on static analysis of relational transformation rules. The post Efficient Model Partitioning for Distributed Model...
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Category theory meets model transformations
Read on to learn how formalizing model transformations and traceability mappings helps to chain, reuse and compose model transformations The post Category theory meets model transformations appeared...
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PyEcore: a Python(ic) Implementation of the Eclipse Modeling Framework
Looking for an alternative to the "standard" Java-based Eclipse Modeling Framework? Try this Python implementation of EMF with an emphasis on modeling flexibility and scripting (e.g. to write model...
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Gremlin-ATL: Scalable Model Transformations over NoSQL Databases
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases The post...
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AnATLyzer: An IDE for better ATL model transformations
IDEs for model transformation languages are still rudimentary compared to IDEs of languages like Java o C. AnATLyzer has been created to fill this gap and provide some advanced IDE features for ATL....
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Distributing relational model transformation on MapReduce
Overcome the limitations of executing model transformations on large models by distributing them on top of a mapreduce infrastructure. We've done it for ATL. Read the full details on this paper...
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Enabling Performance Modeling for the Masses: Initial Experiences
We automate the creation of performance models out of standard design models. Such performance models can be automatically solved to evaluate performance aspects early in the development process The...
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An LSTM-Based Neural Network Architecture to replace Model Transformations
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer model transformations from sets of...
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Is there a future for Model Transformation Languages? – Final Report
Are you using model transformation languages to manipulate your models? If not, why? Should we just get rid of all transformation languages and use plain Java?. Participate in this discussion about the...
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AI-based tools to transform interface design mockups into ready-to-use UI code
None of us enjoys wasting time aligning HTML/CSS elements. A tool able to take our rough handmade sketches and transform them into actual UI code is almost a dream come true. Let's see how close we are...
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SEET: Symbolic Execution of ETL Transformations
Find logical errors in model transformations by means of applying symbolic execution methods. The post SEET: Symbolic Execution of ETL Transformations appeared first on Modeling Languages.
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Dc4MT: a Data-centric Approach for Model Transformations
Need to transform very large models? Take a look at this new approach built on top of Apache Spark The post Dc4MT: a Data-centric Approach for Model Transformations appeared first on Modeling Languages.
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Yet Another Model Transformation Language (YAMTL): Enabling Model...
Yet Another Model Transformation Language (YAMTL) provides a fresh approach to model transformation by favouring agility, interoperability, reuse, expressivity and performance. With YAMTL, model...
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Gremlin-ATL: Scalable Model Transformations over NoSQL Databases
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases
View ArticleClik here to view.
AnATLyzer: An IDE for better ATL model transformations
IDEs for model transformation languages are still rudimentary compared to IDEs of languages like Java o C. AnATLyzer has been created to fill this gap and provide some advanced IDE features for ATL.
View ArticleClik here to view.
Distributing relational model transformation on MapReduce
Overcome the limitations of executing model transformations on large models by distributing them on top of a mapreduce infrastructure. We've done it for ATL. Read the full details on this paper...
View ArticleClik here to view.
Enabling Performance Modeling for the Masses: Initial Experiences
We automate the creation of performance models out of standard design models. Such performance models can be automatically solved to evaluate performance aspects early in the development process
View ArticleClik here to view.
Is there a future for Model Transformation Languages? – Final Report
Are you using model transformation languages to manipulate your models? If not, why? Should we just get rid of all transformation languages and use plain Java?. Participate in this discussion about the...
View ArticleClik here to view.
SEET: Symbolic Execution of ETL Transformations
Find logical errors in model transformations by means of applying symbolic execution methods.
View Article