SEDec 2, 2013

The TTC 2013 Flowgraphs Case

arXiv:1312.0341v113 citations
Originality Synthesis-oriented
AI Analysis

This work provides a benchmark for tool developers and researchers in model transformation to assess usability and scope, but it is incremental as it builds on existing contest frameworks.

The paper presents a transformation tool contest case for evaluating the capabilities of transformation languages and tools across four diverse tasks, including model-to-model, model-to-text, in-place transformations, and model validation, with provided intermediate models to allow flexibility in task execution.

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 transformation problem, there's a model-to-text problem, there are two in-place transformation problems, and finally there's a task dealing with validation of models resulting from the transformations. The tasks build upon each other, but the transformation case project also provides all intermediate models, thus making it possible to skip tasks that are not suited for a particular tool, or for parallelizing the work among members of participating teams.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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