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*定義

  A model transformation is a process of automatic
 generation of a target model from a source model,
 according to a transformation definition, which is
 expressed in a model transformation language.

Ivan Kurtev, [[Adaptability of Model Transformations>http://trese.cs.utwente.nl/publications/publications.php?action=showPublication&pub_id=353]], 2005, p. 31


  A model transformation is defined in a model transformation
 specification, which consists of a set of transformation
 rules. A transformation rule usually includes two parts:
 a Left-Hand Side (LHS) and a Right-Hand Side (RHS). The LHS
 defines the configuration of objects in the source models
 to which the rule applies (i.e., filtering, which produces
 a subset of elements from the source model). The RHS define
 s the configuration of objects in the target models that 
 will be created, updated or deleted by the rule. Both the
 LHS and RHS can be represented using any mixture of
 variables, patterns and logic.

Yuehua "Jane" Lin, [[A Model Transformation Approach to Automated Model Evolution>http://www.cis.uab.edu/gray/Pubs/pubs.htm]], Dissertation, 2007, pp. 33--34

*定義

  A model transformation is a process of automatic
 generation of a target model from a source model,
 according to a transformation definition, which is
 expressed in a model transformation language.

Ivan Kurtev, [[Adaptability of Model Transformations>http://trese.cs.utwente.nl/publications/publications.php?action=showPublication&pub_id=353]], 2005, p. 31


  A model transformation is defined in a model transformation
 specification, which consists of a set of transformation
 rules. A transformation rule usually includes two parts:
 a Left-Hand Side (LHS) and a Right-Hand Side (RHS). The LHS
 defines the configuration of objects in the source models
 to which the rule applies (i.e., filtering, which produces
 a subset of elements from the source model). The RHS define
 s the configuration of objects in the target models that 
 will be created, updated or deleted by the rule. Both the
 LHS and RHS can be represented using any mixture of
 variables, patterns and logic.

Yuehua Lin, [[A Model Transformation Approach to Automated Model Evolution>http://www.cis.uab.edu/gray/Pubs/pubs.htm]], Dissertation, 2007, pp. 33--34