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We present a new, high-level approach for the specification of model-to-modeltransformations based on declarative patterns. These are (atomic or composite)constraints on triple graphs declaring the allowed or forbidden relationshipsbetween source and target models. In this way, a transformation is defined byspecifying a set of triple graph constraints that should be satisfied by theresult of the transformation.  The description of the transformation is then compiled into lower-leveloperational mechanisms to perform forward or backward transformations, as wellas to establish mappings between two existent models. In this paper we studyone of such mechanisms based on the generation of operational triple graphgrammar rules. Moreover, we exploit deduction techniques at the specificationlevel to generate more specialized constraints (preserving the specificationsemantics) reflecting pattern dependencies, from which additional rules can bederived.  This is an extended version of the paper submitted to ICGT'08, withadditional definitions and proofs.

Pattern-based Model-to-Model Transformation: Long Version