MDEBE 2013 - International Workshop on Model-Driven Engineering By Example

Examples play a key role in the human learning process. There exist numerous theories on learning styles in which examples are used. Thus, the idea of using examples to derive programs has a long tradition in computer science. Like many other domains of software engineering, the model-driven engineering (MDE) community is currently concerned with the use of examples, such as traceability information and different kind of models, to search for solutions that fall within a specified acceptance margin to solve different problems. Much work has been proposed based on learning from examples such as for model transformation, model evolution, model analysis, and model testing. Applying example-based techniques to complex MDE problems necessitates expertise in both, search-based optimization/machine learning algorithms and MDE formalisms and techniques.
The main goal of this community-building workshop is to offer a forum to exchange experiences and ideas related to learning from already-existing data, e.g., models, metamodels, transformations, transformation traces, to automate different MDE activities such as model transformation, model evolution, model refactoring, metamodeling etc. We invite submissions from academia and industry about topics that comprise both, model-driven and “by examples” approaches based on techniques such as machine learning, search-based techniques, and deductive logic.