SEDec 2, 2013

Solving the TTC 2013 Flowgraphs Case with FunnyQT

arXiv:1312.0347v11 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental application of an existing method to a specific benchmark case in model transformation.

The paper tackled the TTC 2013 Flowgraphs Transformation Case using FunnyQT, a model querying and transformation library for Clojure, and it solved all four tasks while winning the best efficiency award.

FunnyQT is a model querying and model transformation library for the functional Lisp-dialect Clojure providing a rich and efficient querying and transformation API. This paper describes the FunnyQT solution to the TTC 2013 Flowgraphs Transformation Case. It solves all four tasks, and it has won the best efficiency award for this case.

Foundations

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

Your Notes