SLE 2015 paper:
Distributed Model-to-Model Transformation with ATL on MapReduce

Amine Benelallam, Abel Gómez, Massimo Tisi, Jordi Cabot

DOI: 10.1145/2814251.2814258
T4B: Horizontal Transformation
- It scales horizontal model-to-model transformations by executing them in a distributed MapReduce setting.
T5F: Performance
- A key contribution is performance/scalability for very large models and transformations.
T6D: Synergies
- It combines model transformation technology with distributed systems/MapReduce (a cross-area synergy).
T3B: Transformation Languages
- ATL is a transformation language, and the work adapts its execution model to the distributed setting.

The page is maintained by Dr. Vadim Zaytsev a.k.a. @grammarware. Last updated: June 2026.