摘要翻译：
模型转换对符合精确定义的元模型的模型进行操作。因此，将它们链接起来似乎相对容易：如果元模型匹配，转换的输出可以作为第二个转换的输入给出。然而，这个简单的规则有一些明显的局限性。例如，转换可能只使用元模型的子集。因此，链接转换适当地需要更多的信息。我们在这里提出了一种方法，它通过静态分析转换来自动发现关于实际链接约束的更详细的信息。目标是为决定链式转换的开发人员提供更多的数据，以便他们做出选择。这种方法已经成功地应用于内生变换库的情况。它们都有相同的源和目标元模型，但有一些隐藏的链接约束。在这种情况下，上面给出的简单元模型匹配规则不能提供任何有用的信息。
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英文标题：
《Automatically Discovering Hidden Transformation Chaining Constraints》
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作者：
Raphael Chenouard (LINA), Fr\'ed\'eric Jouault (INRIA - EMN)
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Model transformations operate on models conforming to precisely defined metamodels. Consequently, it often seems relatively easy to chain them: the output of a transformation may be given as input to a second one if metamodels match. However, this simple rule has some obvious limitations. For instance, a transformation may only use a subset of a metamodel. Therefore, chaining transformations appropriately requires more information. We present here an approach that automatically discovers more detailed information about actual chaining constraints by statically analyzing transformations. The objective is to provide developers who decide to chain transformations with more data on which to base their choices. This approach has been successfully applied to the case of a library of endogenous transformations. They all have the same source and target metamodel but have some hidden chaining constraints. In such a case, the simple metamodel matching rule given above does not provide any useful information.
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PDF链接：
https://arxiv.org/pdf/1003.0746