Model Transformations Require Formal Semantics

Yu Sun (1) , Zekai Demirezen (1) , Tomaz Lukman (2) , Marjan Mernik (1, 3) , Jeff Gray (1)

1 CIS - Department of Computer and Information Sciences [Alabama]
2 Department of Systems and Control
3 Faculty of Elec. Eng. and Computer Science

Despite the increasing interest in model-driven engineering, there are many open issues that need to be addressed to advance the technology and promote its adoption. This position paper outlines several current limitations of model transformation, with a specific emphasis on model optimization. A primary shortcoming that can be found in many model transformation approaches and tools is the lack of formal semantics to define the meaning of a modeling abstraction. This inadequacy is the source of many problems surrounding the practice of model engineering.

Domaines: Langage de programmation [cs.PL]

Yu Sun, Zekai Demirezen, Tomaz Lukman, Marjan Mernik, Jeff Gray. Model Transformations Require Formal Semantics. Domain-Specific Program Development, 2008, Nashville, United States. pp.5. ⟨hal-00350261⟩